Available Positions for Postdoctoral Fellows | NYU Langone Health

Postdoctoral Affairs Available Positions for Postdoctoral Fellows

Available Positions for Postdoctoral Fellows

At NYU Grossman School of Medicine, we frequently post new opportunities for postdoctoral fellows to join our team of world-class biomedical investigators.

If you are interested in applying for an available position, please contact the principal investigator directly using the contact information included with the position listing. You might find additional postdoc and research opportunities by searching the NYU Grossman School of Medicine website for a researcher or department that interests you.

NYU Grossman School of Medicine researchers who have an available postdoctoral position they would like to add to this list can submit the new postdoctoral position submission form.

Current postdocs nearing the end of their appointment can log into the postdoc community using their Kerberos ID to browse a list of job openings. Faculty and administrators from outside institutions who wish to add a job opening to this list can do so by submitting a career opportunity form.

Download the Postdoctoral Affairs Program Handbook for a comprehensive guide for all current and prospective NYU Langone Health postdocs.

NYU Grossman School of Medicine is an equal opportunity employer. All qualified individuals are encouraged to apply. The following positions offer competitive salaries, excellent benefits, and eligibility for student housing:

Mental Health Equity Research Postdoctoral Fellow—May 5, 2026

NYU Langone Health’s Institute for Excellence in Health Equity (IEHE) is seeking a postdoctoral research scientist to join its Mental Health Research Pillar under the leadership of Tanya M. Spruill, PhD, a clinical psychologist and behavioral scientist who directs the Mental Health Research Pillar within IEHE. Dr. Spruill’s research program focuses on behavioral medicine, mental health, and health equity, with particular emphasis on underserved populations and chronic disease management.

We are seeking a postdoctoral research scientist with a background and interest in behavioral medicine, mental health, health equity, and/or women’s health research. The fellow will work closely with Dr. Spruill, contributing to ongoing NIH, CDC, and American Heart Association funded clinical trials of mindfulness-based interventions for patients with chronic conditions including hypertension, heart disease, and epilepsy, as well as longitudinal cohort studies. Candidates with experience or interest in other patient populations are also encouraged to apply. Research activities may include collaboration with patients, families, and healthcare providers, as well as interdisciplinary work with faculty across medicine, public health, and social science disciplines.

The postdoctoral fellow will be involved in multiple aspects of research development and execution, including intervention design and implementation, data analysis, and dissemination of findings. The position also includes structured mentorship in grant writing and career development, with access to a broad range of training opportunities at NYU Langone.

Principal Duties and Responsibilities

  • contribute to interdisciplinary team activities, including development, implementation, and management of research programs and grant submissions
  • participate in clinical research activities, including protocol development, intervention design, delivery or monitoring, and management of timelines and reporting requirements
  • conduct data analyses using appropriate quantitative and/or qualitative methods
  • prepare manuscripts for peer-reviewed journals and present findings at scientific conferences
  • assist in the coordination and submission of new grant applications
  • develop skills necessary for launching an independent research career

Hiring qualifications include a doctoral degree in psychology, public health, health education, population health, nursing, social work, medicine, or a related field. Candidates should demonstrate strong scientific writing and oral communication skills, strong quantitative and/or qualitative analytical skills, and evidence of effective project management and teamwork. Prior experience with patient-oriented research is required. Experience with mindfulness research or practice is preferred but not required.

The salary for this position is $70,000–$75,000.

How to Apply

To be considered for this position, please submit the following materials to Tanya.Spruill@NYULangone.org:

  • curriculum vitae
  • cover letter describing research interests and career goals
  • representative publication or writing sample
  • contact information for two to three references familiar with your research and qualifications

Applications will be reviewed on a rolling basis until the position is filled, and early applications are encouraged.

Applying Computational Science to Patient Care—April 24, 2026

The Division of Precision Medicine at NYU Langone Health is seeking highly motivated postdoctoral candidates to join its research team. The division focuses on advancing patient care through the integration of computational science and clinical practice.

The postdoctoral fellow will be responsible for developing and implementing physiological metrics for the diagnosis and prognosis of cardiovascular, lung, and kidney disease. This work includes building a modeling pipeline that processes clinical imaging data, such as computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), alongside patient medical records. The fellow will develop scalable algorithms that integrate imaging and electronic health record (EHR) data to generate disease metrics and validate these metrics against patient outcomes.

In addition, the fellow will implement disease metrics in clinical settings by supporting prospective clinical trials involving more than 50 patients, integrating modeling pipelines into point-of-care systems, and collaborating with clinicians to drive adoption. The fellow will also be encouraged to pursue independent lines of inquiry aligned with the broader goals of the project and will have opportunities for professional development and mentorship.

Key responsibilities for this role include the following:

  • processing and analyzing clinical imaging data
  • integrating imaging with electronic health record data
  • developing novel disease metrics and algorithms using integrated data
  • preparing figures, models, and visualizations for publications and presentations
  • writing and submitting manuscripts to peer-reviewed journals
  • presenting findings at national and international conferences
  • contributing to grant proposals
  • mentoring junior trainees and rotating students

Qualifications for this position include the following:

  • a PhD and/or MD
  • strong quantitative and programming skills
  • a collaborative approach to research
  • strong organizational skills

The salary for this position is $70,000.

How to Apply

Applicants should submit a curriculum vitae and a short statement of experience, goals, and interest in the position. Please email application materials to Tom.Zhao@NYULangone.org and Tony.Lam@NYULangone.org.

Artificial Intelligence Postdoctoral Fellow—April 24, 2026

The Center for Surgical & Transplant Applied Research (CSTAR) at NYU Langone Health is seeking two postdoctoral fellows to join its research team: one in the Artificial Intelligence Core and one in the Operations Research Core. CSTAR is a leading center dedicated to advancing organ transplantation research through innovative, data-driven approaches.

CSTAR at NYU Langone Health is seeking a Postdoctoral Fellow with expertise in artificial intelligence (AI) and machine learning (ML) to join a dynamic research team focused on transforming organ transplantation and general medicine. This position provides an opportunity to advance AI applications in healthcare, leveraging cutting-edge technologies to generate real-world evidence and improve clinical decision-making. The fellow will collaborate with experts across NYU Langone Health, integrating advanced AI techniques to address complex challenges in transplantation and general medical research.

CSTAR is at the forefront of transplantation research, merging rigorous scientific methods with real-world applications. The center’s mission is to make organ donation and transplantation equitable, accessible, and successful. The team has pioneered solutions that improve care for living donors and influence national transplant policies, while collaborating with practice and policy leaders, patient and community groups, and national professional societies. At CSTAR, the postdoctoral fellow will work alongside a passionate and accomplished team dedicated to transforming lives through transplantation science, contributing to innovative research that directly impacts clinical practice and policy while helping to shape the future of organ transplantation.

Key responsibilities for this role include the following:

  • conduct research in surgery and transplantation using advanced large language models (LLMs) and AI/ML techniques
  • conduct research projects focused on natural language processing (NLP) and analysis of unstructured clinical data, including patient records and surgical notes
  • analyze large-scale datasets, including electronic health records (EHR), unstructured text, and multimodal data
  • design, implement, and evaluate predictive models for surgical outcomes, patient stratification, and risk assessment
  • collaborate with clinical teams to identify challenges and design AI solutions tailored to surgical workflows and decision-making processes
  • participate in lab meetings, seminars, and interdisciplinary collaborations
  • prepare manuscripts for publication in peer-reviewed journals
  • present research findings at scientific conferences
  • contribute to the preparation of grant applications and funding proposals under faculty guidance
  • maintain up-to-date knowledge of advancements in LLMs, AI/ML, and healthcare technologies
  • ensure compliance with institutional and regulatory policies for data handling, privacy, and ethical AI research

Qualifications for this position include the following:

  • a PhD in computer science, data science, mathematics, or a related field (conferred by the start date)
  • strong programming and analytical skills with experience in AI/ML, LLMs, or NLP
  • demonstrated interest in healthcare equity, transplantation, or applications of AI in medicine
  • excellent written and verbal communication skills for interdisciplinary collaboration and dissemination of research findings

The salary for this position is $70,000 to $75,000 per year.

How to Apply

Applicants should submit a curriculum vitae, cover letter detailing research interests and career goals, a one-page research statement, and contact information for three references. Please submit all application materials as a single PDF to Michal.Mankowski@NYULangone.org with the subject line “Postdoctoral Fellow Application - CSTAR.” Applications will be reviewed on a rolling basis.

Postdoctoral Fellow in Transcriptional Regulation of Prostate Cancer—April 14, 2026

A postdoctoral fellow position is available at NYU Grossman School of Medicine, under the direction of Zijie Sun, PhD. Dr. Sun leads a highly competitive research program focused on molecular mechanisms underlying transcriptional control and cell signaling in prostate development and prostate cancer tumorigenesis.

The successful candidate will join a dynamic research environment investigating gene expression and genomic and epigenetic regulation governing prostatic stem cells and stem cell niches. The work will involve cutting-edge and unbiased biological approaches, innovative genetically engineered mouse models, and advanced bioinformatics analyses. The laboratory’s recent publications include work in PLoS Genetics, Development, Nature Communications, and Nature Reviews Urology.

Candidates should hold a recent PhD or MD/PhD degree in Cancer Biology, Molecular Biology, Genetics, Biochemistry, Cell Biology, or a related field. Applicants should demonstrate creativity, strong productivity, high motivation, and a commitment to learning in a collaborative research setting.

We provide an interactive and supportive research and training environment, along with a competitive salary and comprehensive fringe benefits. The salary for this position is $70,000–$77,000.

How to Apply

Applicants should submit a curriculum vitae and the names and contact information of three references to Dr. Zijie Sun at Zijie.Sun@NYULangone.org

Postdoctoral Research Fellow in Perinatal Neuroimaging—April 8, 2026

The Department of Child and Adolescent Psychiatry at NYU Grossman School of Medicine is seeking a highly motivated Postdoctoral Fellow to join the lab of Lanxin Ji, PhD through a recent NIH K99/R00 Pathway to Independence Award. Dr. Ji’s research group focuses on early human brain development, with an emphasis on maternal-fetal health, advanced neuroimaging, and the application of novel computational approaches including deep learning.

The successful candidate will take a leadership role in research projects, with opportunities to analyze data from both locally-collected MRI cohorts and large-scale public datasets, such as the developing Human Connectome Project (dHCP). Responsibilities include leading fetal and placental MRI data analysis, brain network analysis, and linking multimodal imaging data with a wide spectrum of biological and behavioral data from peripartum women and their children. The core duties involve developing research questions, conducting MRI data analyses, preparing first-author manuscripts, and presenting findings at national and international scientific conferences.

Responsibilities

  • applying and optimizing computational methods for processing and analyzing placental and fetal MRI data
  • applying AI models to existing brain MRI datasets
  • conducting statistical and computational analyses and interpreting results
  • collaborating with interdisciplinary investigators in psychology, psychiatry, and computational neuroscience
  • writing manuscripts and grant applications

This position offers a unique opportunity for a talented researcher to be a key driver of the lab's scientific mission. The fellow will work within a rich, collaborative environment at NYU Langone Health, a world-class center for medical research and home to the Hassenfeld Children’s Hospital. The candidate will gain deep experience with MRI acquisition and analysis in fetal and neonatal populations, receive cross-disciplinary training in neuropsychological development and maternal-fetal medicine, and be mentored through the full cycle of independent research. Career development support includes assistance with manuscript preparation, conference presentations, and development of grant proposals as a lead trainee investigator, for example BBRF fellowships, K01, or K99/R00 awards.

Preferred Qualifications

  • PhD or equivalent doctoral degree in psychology, neuroscience, engineering, or a related field
  • experience in MRI data collection and processing
  • programming experience (e.g., Python, R, MATLAB)
  • demonstrated research productivity (e.g., publications or conference presentations)
  • strong organizational and project management skills
  • excellent written and verbal communication abilities

The salary for this position is $74,200.

How to Apply

To apply, please send the following materials to Lanxin.Ji@NYULangone.org:

  • curriculum vitae
  • cover letter describing research interests and career goals
  • representative publication or writing sample

Systems Immunology and Cardiovascular Disease, Giannarelli Laboratory—March 31, 2026

The Giannarelli Laboratory at NYU Langone is seeking a highly motivated postdoctoral fellow to join a multidisciplinary team investigating the immunology of cardiovascular disease under the leadership of Chiara Giannarelli, MD, PhD. Dr. Giannarelli’s group focuses on human and experimental immune responses that drive atherosclerosis, vascular inflammation, and cardiometabolic complications, using single-cell, spatial, and systems immunology approaches.

NYU Langone is widely recognized for excellence in patient care, research, and innovation, providing an exceptional environment for postdoctoral training and career development.

About the Role

The postdoctoral fellow will lead mechanistic and translational projects to define how immune cell states, signaling pathways, and tissue niches contribute to vascular inflammation and cardiometabolic disease progression. Projects will leverage human biospecimens, including blood, atherosclerotic plaque, and adipose tissue, mouse models of atherosclerosis and cardiometabolic disease, and high-dimensional profiling technologies, including single-cell RNA sequencing, cytometry by time of flight (CyTOF) or spectral flow cytometry, and spatial transcriptomics. The fellow will drive projects from experimental design through data generation, analysis, and publication in collaboration with investigators in cardiology, vascular biology, metabolism, and computational biology.

Key Responsibilities Include

  • designing and performing in vitro and in vivo experiments to interrogate immune and vascular mechanisms in atherosclerosis and cardiometabolic disease
  • generating and analyzing high-dimensional immune profiling datasets, including spectral flow cytometry or CyTOF, single-cell RNA sequencing, bulk RNA sequencing, and spatial transcriptomics
  • characterizing immune cell subsets and states using multicolor flow cytometry, immunohistochemistry, immunofluorescence, and microscopy
  • working with human biospecimens and murine models to define molecular and cellular pathways relevant to vascular inflammation and plaque biology
  • integrating multi-omics data with clinical phenotypes in collaboration with computational and clinical partners
  • preparing figures and results for manuscripts, conference presentations, and internal meetings
  • writing and submitting first-author and coauthored manuscripts to peer-reviewed journals
  • presenting research findings at local, national, and international scientific meetings
  • contributing to grant applications, progress reports, and collaborative projects
  • providing mentorship and guidance to students, junior trainees, and rotating fellows

About You

Competitive applicants will have:

  • a PhD, MD, or MD/PhD in immunology, cardiovascular biology, systems biology, metabolism, or a closely related field, or be near completion of doctoral training
  • strong interest in mechanistic and translational research at the intersection of immunology, vascular biology, and cardiometabolic disease
  • demonstrated experimental expertise in immunology and/or vascular biology, such as flow cytometry, immune cell culture, mouse models, tissue processing, and histology
  • experience with high-dimensional immune profiling, such as multiparameter flow cytometry, CyTOF, or single-cell RNA sequencing, and familiarity with transcriptomic or other omics datasets
  • basic to advanced skills in data analysis using R, Python, or other relevant platforms; experience with single-cell or bulk RNA sequencing analyses is a plus
  • evidence of scientific productivity, such as first-author publications or high-quality preprints
  • excellent scientific writing, presentation, and interpersonal communication skills
  • a collaborative, organized, and independent approach to research with enthusiasm for working in a multidisciplinary team

Mentorship and Environment

The Giannarelli Laboratory offers a highly collaborative and rigorous environment with a strong commitment to mentorship, scientific integrity, and trainee development. The fellow will work closely with Dr. Giannarelli and senior lab members; have access to world-class core facilities and platforms at NYU Langone, including single-cell and spatial omics, advanced flow cytometry, genomics, proteomics, and imaging; collaborate with clinicians and clinical researchers, including opportunities to analyze data from patient-derived samples; and receive support for first-author publications, fellowship and career development awards, and, where appropriate, early independent funding applications.

Appointment and Funding

This is a full-time position with an initial one-year appointment and the possibility of renewal based on performance and funding. The role will be partially supported by the Training Program in Cardiometabolic Diseases via award number T32HL098129 from the National Institutes of Health.

Eligibility Requirements for T32 Appointment

To receive a T32 appointment, candidates must:

  • be a U.S. citizen, noncitizen national, or permanent resident
  • hold a doctoral degree (MD, PhD, or MD/PhD) or equivalent by the start date of the appointment
  • be engaged in basic, translational, or clinical research in cardiometabolic diseases or related factors under the mentorship of a faculty member at NYU Grossman School of Medicine

How to Apply

Please submit the following materials as a single PDF to be considered for the position:

  • a brief cover letter describing research experience, interests, relevant skills, and career goals
  • a curriculum vitae, including a list of publications and preprints
  • contact information for two to three references familiar with your research and qualifications

The salary for this position is $70,000 to $75,000 per year.

Send all application materials to:
Chiara Giannarelli, MD, PhD
Chiara.Giannarelli@NYULangone.org

Applications will be reviewed on a rolling basis until the position is filled, and early applications are encouraged.

Translational Human Immunology in Cardiothoracic Transplantation—March 31, 2026

The lab of Marlena Habal, MD, at NYU Langone Health is recruiting a postdoctoral fellow (PhD and/or MD) to join a research program focused on B cell immunology in transplantation. The lab’s goal is to improve outcomes in heart and lung transplantation by translating basic mechanisms identified in preclinical models into human studies and evaluating responses to novel immunomodulatory strategies.

Dr. Habal’s research also focuses on the role of costimulation blockade using belatacept, which has been shown to prevent the development of donor-specific antibodies after transplantation. The successful candidate will contribute to translational studies examining immune responses in transplantation and mechanisms that influence graft outcomes.

The ideal candidate will have experience with laboratory techniques commonly used in immunology research. Desired experience includes the following:

  • competence in spectral flow cytometry
  • cell sorting using high-dimensional flow cytometry panels
  • single-cell culture
  • tissue culture
  • standard immunological assays, including enzyme-linked immunosorbent assay (ELISA), enzyme-linked immunospot (ELISPOT), mixed lymphocyte reactions, and activation assays
  • single-cell sequencing using platforms such as 10x Genomics or comparable technologies
  • experience with preclinical mouse models preferred
  • familiarity with R and basic programming preferred
  • experience in data analysis, including high-dimensional flow cytometry and single-cell analysis
  • background in B cell biology preferred

The minimum salary for this position is $70,000.

How to Apply

Applicants should submit the following materials as a single PDF:

  • a brief cover letter describing research experience, interests, relevant skills, and career goals

  • a curriculum vitae, including a list of publications and preprints

  • contact information for two to three references familiar with the applicant’s research and qualifications

Application materials should be emailed to:

Marlena Habal, MD
Marlena.Habal@NYULangone.org

Applications will be reviewed on a rolling basis until the position is filled. Early applications are encouraged.

Precision Functional Mapping of Fronto-Striatal Circuits—March 17, 2026

**PhD in systems neuroscience is REQUIRED**

The Siegel Laboratory at NYU Langone Health in New York City, led by Joshua Siegel, MD, PhD, is seeking a highly motivated postdoctoral fellow to join a multidisciplinary research team studying how psychedelic therapies modulate fronto-striatal reward and emotion circuitry using precision functional mapping (PFM) and advanced functional magnetic resonance imaging (fMRI) methods. This position offers an opportunity to contribute to cutting-edge translational neuroscience research integrating advanced neuroimaging, computational analysis, and clinical psychiatry.

The fellow will play a central role in a longitudinal pharmaco-fMRI study examining how psilocybin modulates individualized reward circuits in patients with depression and anhedonia. The project leverages high-resolution multi-echo fMRI and individualized network mapping to characterize fronto-striatal circuits linking the pregenual anterior cingulate cortex and nucleus accumbens that underlie reward processing and motivation.

Primary Responsibilities

The postdoctoral fellow will work closely with the principal investigator and the research team to:

  • acquire and analyze advanced fMRI data, including multi-echo imaging and PFM
  • implement pipelines for individualized network parcellation and functional connectivity analyses
  • map fronto-striatal reward circuits using resting-state and task-based fMRI
  • conduct statistical analyses of neuroimaging and behavioral data
  • assist with neuropsychological and clinical research assessments
  • contribute to manuscript preparation, conference presentations, and grant development
  • collaborate with an interdisciplinary team of neuroscientists, psychiatrists, and imaging scientists

Required Qualifications

Applicants should have:

  • candidate must have a PhD in neuroscience, psychology, biomedical engineering, or computational neuroscience
  • strong background in systems neuroscience and neuroimaging
  • experience with fMRI analysis tools such as MATLAB, Python, or Statistical Parametric Mapping (SPM) or similar platforms
  • demonstrated expertise in statistical analysis and data science
  • interest in clinical neuroscience and translational research

Preferred Qualifications

Ideal candidates may also have:

  • experience with advanced fMRI acquisition or preprocessing
  • experience with functional connectivity or network neuroscience
  • familiarity with machine learning or computational modeling
  • prior work involving clinical populations or psychiatric research

Research Environment

The fellow will be based at NYU Langone Health, working within a collaborative environment focused on precision neuroimaging, psychedelic science, and translational psychiatry. The laboratory integrates advanced neuroimaging methods, clinical trials, and computational neuroscience to develop biomarkers of circuit-level drug target engagement and treatment response.

Career Development

The position offers substantial opportunities for scientific leadership and career development, including:

  • opportunities to lead analyses and produce first-author publications
  • support for developing independent research directions
  • mentorship in grant writing and academic career development
  • collaborations across NYU Langone neuroscience and psychiatry programs

The minimum salary for this position starts at $70,000 per year, commensurate with experience.

How to Apply

Please email the following materials to Dr. Siegel at Joshua.Siegel@NYULangone.org.

  • a short cover letter describing research interests
  • curriculum vitae (CV)
  • contact information for two to three references

Applications will be reviewed on a rolling basis until the position is filled.

Postdoctoral Position in Metabolism and Immunity—February 19, 2026

The Dantas Laboratory at NYU Langone Health is seeking a highly motivated postdoctoral fellow to join the research group led by Ezequiel C. Dantas, MD, PhD. The lab investigates the mechanisms underlying cancer cachexia and examines how nutrients shape immunity and systemic metabolism, with a strong emphasis on dietary interventions and translational science. This position offers joint, hands-on mentorship with Marcus D. Goncalves, MD, PhD in an innovative and interdisciplinary research environment.

Dr. Dantas and Dr. Goncalves lead complementary research programs focused on tumor–host interactions, metabolism, and immunology. The successful candidate will contribute to mechanistic and translational studies at the interface of oncology, nutrition, and immune regulation.

Ideal candidates will have the following qualifications:

  • PhD, MD, or MD/PhD in cancer biology, immunology, metabolism, physiology, or a related field, or be near completion of doctoral training
  • strong interest in mechanistic and translational research at the intersection of oncology, nutrition, and immunology
  • strong experimental and analytical skills, with evidence of productivity, such as first-author publications or high-quality preprints
  • experience with cancer mouse models and immune profiling techniques, including flow cytometry, immunohistochemistry, and microscopy, preferred
  • bioinformatic skills and experience analyzing cancer-related datasets, desirable but not required
  • excellent communication skills and demonstrated ability to work effectively in a multidisciplinary team

This position offers the following opportunities:

  • joint and accessible mentorship from two complementary laboratories with synergistic expertise
  • access to state-of-the-art technologies for metabolic and immune profiling, including Luminex assays, metabolomics platforms, Promethion metabolic cages, spectral flow cytometry and cytometry by time-of-flight, and single-cell and multimodal omics approaches
  • opportunities to collaborate with clinicians and work with patient-derived samples
  • a dynamic and collegial environment committed to rigorous, innovative, and impactful science

The salary for this position is $73,500 to $75,500 per year.

How to Apply

Applicants should submit the following materials as a single PDF:

  • brief cover letter describing research interests, relevant experience, and career goals
  • curriculum vitae, including a list of publications
  • contact information for two to three references

Application materials should be sent to Ezequiel C. Dantas, MD, PhD at Ezequiel.Dantas@NYULangone.org.

Proteomics, Transcriptomics, and Inflammation in Alzheimer’s Disease—February 11, 2026

A postdoctoral research position is available in the VIDA Lab in the Department of Psychiatry at NYU Grossman School of Medicine, led by Jaime Ramos-Cejudo, PhD. We are seeking a highly motivated postdoctoral fellow with strong interests in proteomics, transcriptomics, systemic inflammation, and data-driven approaches to study aging and Alzheimer’s disease. This role is supported by NYU Grossman School of Medicine and focuses on understanding vascular and immune mechanisms that contribute to cognitive decline and neurodegeneration across the adult lifespan. NYU Langone Health is widely recognized for excellence in patient care, research, and innovation, offering a rigorous and collaborative environment for postdoctoral training.

The postdoc fellow will work with rich observational and longitudinal datasets that integrate multi-omics data (for example, plasma proteomics and inflammatory markers; transcriptomic profiles), clinical and cognitive phenotyping, and neuroimaging-derived measures. The position offers substantial opportunities to develop independent research directions, lead high-impact publications, and receive mentorship in advanced analytical methods to build the foundation for an independent academic career.

About the Role

The postdoctoral fellow will play a central role in developing and applying analytical pipelines for high-dimensional biological data, with a particular emphasis on inflammation-related pathways and vascular–immune interactions relevant to Alzheimer’s disease and related dementias. The role involves close collaboration with biostatisticians, computational scientists, clinicians, and collaborators across large cohort studies of proteomics data (SomaScan, Olink, immunoprecipitation mass spectrometry [IP-MS]) and transcriptomics (RNA sequencing [RNA-seq], single-cell cytometry by time of flight [CyTOF]), among others.

The fellow will be encouraged to integrate proteomic and transcriptomic data with longitudinal clinical outcomes and imaging biomarkers using data from our prospective NYU Langone studies as well as available biobanks (Framingham Heart Study [FHS], Atherosclerosis Risk in Communities [ARIC], UK Biobank), leveraging modern statistical learning, dimensionality reduction, and causal inference frameworks. This position is ideal for candidates interested in bridging molecular biology with population-level data science in aging and dementia research.

Specific responsibilities include:

  • analyzing and interpreting large-scale proteomic and transcriptomic datasets, including inflammatory and immune-related markers
  • developing and applying dimensionality reduction techniques (for example, principal component analysis [PCA], factor analysis, network-based methods) to derive biologically meaningful scores
  • conducting longitudinal and observational data analyses to study trajectories of inflammation and cognitive decline
  • applying machine learning approaches for prediction, feature selection, and pattern discovery
  • contributing to data harmonization efforts across cohorts and platforms (for example, batch correction, cross-study normalization)
  • implementing and interpreting causal inference and target trial–inspired analyses
  • integrating multi-omics data with clinical, cognitive, and neuroimaging-derived variables
  • preparing figures, models, and visualizations for manuscripts and presentations
  • writing and submitting manuscripts to peer-reviewed journals
  • presenting findings at national and international scientific meetings
  • contributing to grant proposals and progress reports
  • mentoring junior trainees, students, or rotating fellows

About You

You likely have:

  • a PhD (or expected PhD prior to start date) in bioinformatics, computational biology, biochemistry, biostatistics, epidemiology, biomedical sciences, data science, or a related field
  • strong experience with proteomics and/or transcriptomics data analysis
  • a solid background in statistical modeling and machine learning
  • experience working with observational and longitudinal cohort data
  • familiarity with dimensionality reduction and high-dimensional data methods
  • proficiency in programming languages such as R and/or Python
  • interest in aging, inflammation, vascular biology, Alzheimer’s disease, or neurodegeneration
  • experience with data harmonization techniques and/or causal inference methods (strong plus)
  • excellent scientific writing and communication skills
  • an independent, collaborative, communicative, and highly organized approach to research

Mentorship and Environment

Dr. Ramos-Cejudo will serve as the primary mentor for this position. The VIDA Lab offers a highly collaborative, interdisciplinary environment with strong emphasis on trainee development, independence, and career advancement. Fellows are supported in developing first-author publications, fellowship applications, and independent grant proposals, and benefit from close interaction with senior investigators across NYU Langone, our partners (including VA, FHS, and ARIC), and an extensive network of external cohort studies.

The salary for this position is $70,000 to $75,000 annually.

How to Apply

Please submit the following application materials:

  • a curriculum vitae
  • a cover letter (maximum two pages) summarizing your research experience, interests, goals, and available start date
  • contact information for three references familiar with your academic and research work

Email materials to Jaime Ramos-Cejudo, PhD, at Jaime.Ramos-Cejudo@NYULangone.org.

Transcriptional Control and Cell Signaling in Prostate Development and Cancer — January 9, 2026

The successful applicant will join NYU Langone Health to work in the laboratory of Zijie Sun, PhD. Dr. Sun’s research investigates molecular mechanisms underlying transcriptional control and cell signaling during prostate development and the initiation and progression of prostate cancer.

The successful candidate will use state-of-the-art in vitro biological approaches, innovative genetically engineered mouse models, and advanced bioinformatics analyses to uncover gene-expression, genomic, and epigenetic alterations that regulate stem cells and stem cell niches in prostate development and tumorigenesis. Selected publications from the lab include work in PLoS Genetics (2020), Development (2021), Nature Communications (2022, 2024), and Nature Reviews Urology (2024).

Candidates should have a recent Doctor of Philosophy (PhD) or Doctor of Medicine/Doctor of Philosophy (MD/PhD) degree in cancer biology, molecular biology, genetics, biochemistry, cell biology, or a related field; a proven track record of creativity and productivity; a strong desire to learn; and excellent communication skills. Experience with mouse models of human disease, cancer biology, molecular biology, or genetics is highly desired. We provide an interactive and supportive research and training environment, as well as competitive benefits. The salary for this position is $70,000 to $76,000.

How to Apply

To be considered, please submit the following materials:

  • Curriculum vitae
  • Names and contact information for three references

Send materials to Zijie Sun, PhD at Zijie.Sun@NYULangone.org.

Postdoctoral Fellow (Bioinformatics), Thrombosis and Immunology—December 12, 2025

The postdoctoral fellow will join the Barrett Lab in the Department of Medicine at NYU Grossman School of Medicine, led by Tessa J. Barrett, PhD. The Barrett Lab is dedicated to elucidating the mechanisms and regulation of platelet-mediated complications in atherogenesis, thrombosis, and inflammatory disease. We integrate human clinical datasets with mechanistic studies in mouse models and cell-based systems to define actionable pathways that shape thrombo-inflammation and cardiovascular risk, with recent work published in leading journals (Cardiovascular Research, 2025; Nature Communications, 2024; Thrombosis and Haemostasis, 2023; Cell Reports, 2021).

We are seeking a highly motivated computational and bioinformatics postdoctoral fellow to lead study design, analysis, and interpretation of high-dimensional single-cell and functional genomics datasets. The successful candidate will work closely with experimental scientists and clinical collaborators to develop analysis strategies, build reproducible pipelines, and translate multi-omic findings into biological insight and testable hypotheses.

Key responsibilities include:

  • design and execute computational analysis plans for single-cell and epigenomic studies, including experimental design and controls, power considerations, and technical planning
  • analyze and interpret single-cell multi-omics datasets, including Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq), single-cell RNA sequencing (scRNA-seq), single-cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq), and joint multiome profiling, including quality control (QC), integration, batch correction, clustering and annotation, differential expression and accessibility, trajectory and inference, cell–cell interaction analyses, and pathway enrichment
  • build and maintain reproducible workflows using R and Seurat, Bioconductor, Signac or ArchR, and/or Python and Scanpy, with strong documentation and version control
  • collaborate on figure generation, manuscript writing, and presentation of results, and mentor trainees on computational best practices as needed
  • partner with wet-lab team members to connect computational findings to validation experiments and mechanistic follow-up

Required qualifications include:

  • PhD or equivalent degree in computational biology, bioinformatics, biostatistics, genomics, systems biology, computer science, or a related field
  • demonstrated prior experience analyzing single-cell datasets, including independent study design and biological interpretation
  • proficiency in R and/or Python for data analysis, with familiarity with standard single-cell toolkits such as Seurat, Signac, Scanpy, or ArchR
  • strong communication skills and a collaborative mindset, with the ability to explain analyses clearly to mixed computational and experimental audiences
  • strong publication record or evidence of productive scholarly output
  • interest in platelet biology, thrombo-inflammation, immunology, and/or cardiovascular disease

Highly desired experience includes:

  • hands-on experience with CITE-seq and/or scATAC-seq, and ideally multiome integration, including antibody-derived tag (ADT) processing and chromatin accessibility workflows
  • familiarity with differential testing frameworks, including pseudobulk strategies and mixed models, gene set enrichment, and robust statistical practice
  • experience with cloud or high-performance computing (HPC) environments, containers, workflow managers, and best practices in reproducible research

The salary for this position is a minimum of $70,000.

How to Apply

Please submit the following materials:

  • curriculum vitae
  • brief statement describing research background and interests
  • names and contact information for three references

Email materials to Tessa J. Barrett, PhD, at Tessa.Barrett@NYULangone.org .

Natural Language Processing, Machine Learning, and Artificial Intelligence—December 12, 2025

The DigiMind Lab and the Computational Psychiatry Program in the Department of Psychiatry at NYU Grossman School of Medicine at NYU Langone are seeking a Post-Doctoral Fellow. The DigiMind Lab is a clinical research program led by Matteo Malgaroli, PhD. The lab aims to advance mental health assessment and interventions through digital tools that integrate psychiatry, computer science, and biomedical engineering, supported by federal- and industry-funded research initiatives. Current projects focus on developing digital biomarkers for anxiety, depression, and stress disorders; implementing large language models (LLMs) in clinician workflows; and contributing to research on artificial intelligence (AI) safety and equity in mental health.

The Post-Doctoral Fellow will develop LLMs and natural language processing (NLP) applications for mental health. This position offers unique opportunities to work with large-scale clinical corpora and digital health platforms, collaborating with computational and clinical mentors to validate translational AI tools. The fellow will support ongoing projects through collaboration across NYU Langone and the Center for Data Science. Successful candidates will be co-supervised within the Center for Data Science within the team of Kyunghyun Cho. Responsibilities include developing AI models, preparing manuscripts and presenting findings at conferences, mentoring junior researchers, and contributing to grant applications. Additional research and training opportunities are available through the Computational Psychiatry Program.

Qualifications include:

  • doctor of philosophy (PhD) in computer science, data science, psychology, biomedical engineering, or a related field
  • strong background in NLP, machine learning (ML), and AI
  • proficient programming skills in Python and ML/NLP frameworks
  • track record of peer-reviewed publications
  • excellent oral and written communication skills
  • experience with clinical text analysis or digital health data preferred
  • familiarity with transformer architectures and LLM fine-tuning preferred
  • background in psychiatry or mental health research preferred

The salary for this position is $70,000.

How to Apply

Please email Zoë Mermin at Zoe.Mermin@NYULangone.org with the following materials to be considered:

  • curriculum vitae
  • cover letter describing research interests and plans
  • contact information for 2 to 3 references
  • one representative publication

Applications will be reviewed on a rolling basis until the position is filled.

Postdoctoral Fellowship in Diffusion Magnetic Resonance Imaging—December 2, 2025

The Center for Biomedical Imaging (CBI) in the Department of Radiology at NYU Langone Health seeks applications for a postdoctoral fellowship in diffusion magnetic resonance imaging (MRI). The fellow will join an interdisciplinary team to help transform MRI into a precise, pathology-specific scientific instrument and to pioneer the use of Siemens Connectom.X, the world’s most powerful human brain MRI scanner (500 mT/m gradients), newly installed at NYU Langone Health. This role offers a unique opportunity to push the boundaries of quantitative diffusion MRI, focusing on microstructure biomarkers of the human brain in health and disease.

Responsibilities include:

  • development and validation of diffusion and microstructure models for brain gray and white matter
  • implementation and optimization of MRI protocols on the Connectom.X platform
  • applications to neurological disorders including multiple sclerosis (MS), Alzheimer’s disease (AD), and amyotrophic lateral sclerosis (ALS), in collaboration with clinical partners
  • contributing to first-in-human clinical translation studies on Connectom.X
  • collaborating with experts in physics, modeling, and neuroradiology

We seek candidates who:

  • hold a PhD (or are near completion) in biomedical engineering, physics, neuroscience, or a related field
  • have a strong background in at least one of the following: diffusion, quantitative MRI, or clinical study design
  • demonstrate a publication record that shows the ability to drive scientific discovery
  • are self-driven, creative, and collaborative, with excellent communication skills

Institutional environment:

  • join a vibrant community of graduate students, postdoctoral fellows, engineers, basic scientists, and clinicians at one of the most dynamic medical centers in the world
  • collaborate within the Center for Biomedical Imaging in the Department of Radiology, home to more than 100 researchers covering all areas of MRI—from RF coil design and parallel imaging to biophysical modeling of diffusion, perfusion, and relaxation
  • benefit from frequent interactions between basic researchers and clinicians through labs, forums, lectures, and informal gatherings

Facilities:

  • located in midtown Manhattan with access to Siemens Connectom.X and Prisma scanners
  • high-performance computing resources and large clinical datasets

Term:

  • initial two-year appointment with the possibility of extension based on interests and performance

The salary for this position is $75,000–$80,000.

How to Apply

Please email the following materials (PDF format) to Jobs@Diffusion-MRI.com:

  • cover letter
  • statement of research interests
  • curriculum vitae including a list of publications
  • contact information for three references

Postdoctoral Fellow, Microbiome and Molecular Epidemiology—December 2, 2025

Perlmutter Cancer Center at NYU Langone Health seeks applications for a postdoctoral fellowship in Microbiome and Molecular Epidemiology in the research group led by Jiyoung Ahn, PhD. The fellow will collaborate with Dr. Ahn and faculty at NYU Grossman School of Medicine on multiple National Institutes of Health (NIH)–funded, large-scale molecular epidemiologic studies focused on cancer and other chronic diseases. Projects include discovery of novel human microbiota, microbiota–environment interactions, integrative tumor multi-omics analyses, and investigations of cancer development and therapy response. Through international collaborations, our teams have built large-scale molecular and genetic consortia with increasing racial and ethnic diversity, along with harmonized epidemiologic, lifestyle, and clinical data across major cohorts and clinical trials. For detailed descriptions of ongoing projects, please see our NIH RePORTER portfolio. All past postdoctoral fellows from Dr. Ahn’s group have received peer-reviewed career development awards and advanced to highly respected faculty positions.

In this role, you will:

  • work within highly collaborative, multidisciplinary research teams
  • perform cutting-edge analyses of large-scale molecular, genetic, and epidemiologic datasets
  • implement novel statistical methods for high-dimensional genotype and multi-omics data
  • incorporate functional microbiome data and integrative approaches
  • publish research findings as first author, and contribute to co-authored manuscripts
  • participate in grant writing and study management

We are seeking candidates who meet the following criteria:

  • PhD or equivalent degree in epidemiology or a related field (e.g., biostatistics, genetics, computational biology)
  • demonstrated experience with molecular and genetic data analysis; expertise in computational methods for high-dimensional genotype data is desirable
  • excellent written and verbal communication skills
  • ability to work effectively in a fast-paced, collaborative environment

The salary for this position is $75,000.

How to Apply

Please email the following materials to Jiyoung Ahn, PhD, at Jiyoung.Ahn@NYULangone.org:

  • cover letter
  • 1–2 page summary of your research interests
  • contact information for three professional references

Statistical and Computational Genetics—October 10, 2025

The Mostafavi Lab in the Center for Human Genetics and Genomics at NYU Grossman School of Medicine is seeking a highly motivated postdoctoral fellow to study the genetics and biology of human complex traits and diseases. The lab is led by Hakhamanesh Mostafavi, PhD.

Dr. Mostafavi’s research program focuses on understanding the genetic basis of complex traits and diseases and developing improved methods for disease risk prediction. The lab works at the intersection of statistical genetics, population genetics, and computational biology, developing and applying novel analytical frameworks to large-scale genetic datasets to translate genetic discoveries into biological insights and clinical applications.

The successful candidate will conceptualize, design, and lead independent research projects aligned with their interests and expertise under Dr. Mostafavi’s mentorship. Responsibilities include:

  • developing novel statistical and computational methods for analyzing genetic data
  • analyzing large-scale human genetic and functional genomics datasets to understand disease mechanisms
  • improving genetic risk prediction models for complex diseases
  • contributing to grant proposal writing
  • mentoring graduate students and junior lab members
  • collaborating with researchers across NYU and external institutions

Required qualifications

  • PhD in human genetics, population genetics, statistical genetics, computational biology, statistics, or a related quantitative field
  • strong publication and independent research track record
  • advanced programming skills (e.g., Python, R)
  • experience with high-performance computing or cloud computing environments
  • experience analyzing large-scale genetic datasets
  • excellent written and verbal communication skills
  • strong interest in understanding the genetic and biological mechanisms underlying complex traits

Preferred qualifications

  • expertise in statistical genetics methodology development
  • experience with biobank-scale datasets (e.g., UK Biobank, All of Us)

The salary for this position starts at $70,000 per year, commensurate with experience.

How to Apply

To apply, please email the following materials with the subject line “Postdoctoral Application”:

  • Curriculum vitae (CV), including a list of publications
  • Brief statement (maximum one page) describing research interests and career goals
  • Names and contact information for three references

Send application materials to Hakhamanesh.Mostafavi@NYULangone.org.

Models of Hair Follicle Neuroinflammation—September 26, 2025

The Laboratory of Lynn Petukhova, PhD in the Ronald O. Perelman Department of Dermatology at NYU Langone is seeking a highly motivated postdoctoral researcher with expertise in mouse model phenotyping and preclinical screening. This position will be jointly mentored by Dr. Petukhova and Yalda Moayedi, PhD in the Department of Molecular Pathobiology at the NYU School of Dentistry.

The successful candidate will lead phenotyping and mechanistic studies of a newly established transgenic mouse line carrying a human pathogenic mutation in a neurotransmitter that functions at the intersection of inflammation, infection, and pain. Preliminary work from the lab newly implicates this neuropeptide in tissue regeneration. This project integrates molecular, histological, and behavioral approaches to dissect its contributions to immune regulation, pain pathways, and tissue regeneration biology in both mouse models and human cell and tissue culture. The long-term goal is to develop mouse and human preclinical models for drug screening.

The primary responsibility of this position is to conduct in-depth phenotyping of a transgenic mouse model, including behavioral, immunological, molecular, and histological analyses. The candidate will investigate mechanisms linking this neuropeptide to disease pathogenesis and drug responses, with a focus on immune responses, nociception, and hair follicle development. Access to disease-relevant tissues and cells from human patients will support the development of experimental models for preclinical studies. The candidate will collaborate with a multidisciplinary team of neuroscientists, investigative dermatologists, and immunologists.

Qualifications

  • PhD in neuroscience, genetics, molecular biology, immunology, dermatology, or a related field
  • strong background in mouse models, including colony management and in vivo phenotyping
  • experience with one or more of the following: molecular biology, histology, immunohistochemistry, imaging, or behavioral assays
  • experience in pain biology, neuro-immune interactions, cutaneous biology, hair follicle development, and/or inflammatory skin diseases is highly desirable
  • excellent written and oral communication skills
  • demonstrated ability to work independently and collaboratively in a multidisciplinary research environment

The salary for this position is $70,000–$90,000.

How to Apply

Interested candidates should email Lynn.Petukhova@NYULangone.org with the subject heading “Hair Follicle Neuroinflammation Postdoc.”

Hair Follicle Disease Modeling and Functional Genomics — September 26, 2025

The Petukhova Laboratory in the Ronald O. Perelman Department of Dermatology at NYU Langone is seeking a highly motivated postdoctoral researcher with training and expertise in experimental modeling to drive innovation in functional genomic studies of the hair follicle. This position offers the opportunity to investigate molecular mechanisms of hair follicle development, regeneration, and disease using cutting-edge model systems and genomic approaches.

Dr. Lynn Petukhova’s NIH-funded team is focused on implementing precision medicine in the management of hair follicle diseases. This position plays a vital role in translating genetic associations into new biological and clinical knowledge.

Responsibilities

  • Conducting molecular and cellular studies of human hair follicles to validate genetic evidence
  • Utilizing model systems, including cell and tissue culture, explants, and/or induced pluripotent stem cells (iPSCs), to explore mechanisms driving hair follicle development, growth, and dysfunction
  • Performing functional genomic analyses (e.g., CRISPR-based gene editing, RNA sequencing, single-cell and spatial transcriptomics) to investigate genes identified in human genetic studies
  • Collaborating with bioinformaticians, dermatologists, and geneticists to integrate molecular findings with human genetic and clinical data

Qualifications

  • PhD in molecular biology, cell biology, or a related field
  • Hands-on experience with cell and tissue culture, including organoids, iPSCs, and/or skin or hair explants
  • Experience in functional genomics and gene regulation studies is desirable but not required
  • Excellent analytical, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a multidisciplinary research environment

The salary range for this position is $70,000–$90,000.

How to Apply

Interested candidates should email Lynn Petukhova, PhD at Lynn.Petukhova@NYULangone.org with the subject heading “Functional Genomics Post-doc.”

Postdoctoral Position in Structural Immunology and Virology—September 26, 2025

The Lee Laboratory within the Department of Microbiology at NYU Langone Health is seeking a highly motivated Postdoctoral Fellow to join our team as soon as possible. We are a new lab working at the intersection of immunology, virology, biochemistry, and structural biology. This is a timely opportunity to join a young and ambitious team within a larger department with a well-established and vibrant research community.

A successful postdoctoral fellow in this lab will develop proficiency with advanced techniques in the structural and functional analysis of membrane protein complexes involved in immune recognition and viral infection. For more information, please visit jamesleelab.com.

Qualifications

  • PhD in the life sciences or a related field
  • Experience in microbiology, virology, and/or cell biology is preferred
  • Familiarity with one or more of the following is preferred but not required: protein purification, structural biology, fluorescence microscopy, genome editing, and/or flow cytometry
  • Proven experience in independent research
  • Comfortable working safely in a BSL-2 laboratory environment
  • Effective oral and written communication skills
  • Excellent organizational and time management skills

The salary range for this position is $70,000 to $80,000.

How to Apply

Applicants should submit the following materials:

  • Cover letter
  • Curriculum vitae
  • Contact information for two references

Please send all application materials to James Lee, PhD at James.Lee@NYULangone.org.

Diffusion MRI and Alzheimer’s Disease Research—September 26, 2025

A postdoctoral position is available in the laboratory of Jaime Ramos-Cejudo, PhD at NYU Langone Health. The fellow will be responsible for leading diffusion MRI analyses in a diverse, community-based cohort. This includes working with high-resolution structural and advanced diffusion MRI data (e.g., DTI, NODDI, free-water imaging), integrating imaging with cognitive and biofluid biomarkers (e.g., p-tau, proteomics), and contributing to the development of image processing and modeling pipelines. The fellow will also collaborate with investigators and teams in neuroimaging, psychiatry, radiology, and biomarker research.

The fellow will be encouraged to pursue independent lines of inquiry aligned with the broader goals of the project and will have ample opportunity for professional development and mentorship.

Responsibilities

  • Processing and analyzing diffusion MRI data using established pipelines
  • Developing novel markers of microvascular integrity using diffusion data
  • Integrating imaging with biofluid, clinical, and cognitive data
  • Preparing figures, models, and visualizations for publications and presentations
  • Writing and submitting manuscripts to peer-reviewed journals
  • Presenting findings at national and international conferences
  • Contributing to grant proposals
  • Mentoring junior trainees and rotating students

Qualifications

  • PhD (or expected PhD before start date) in biomedical engineering, physics, computer science, or a related field
  • Strong background in MRI data processing, particularly diffusion imaging
  • Proficiency with imaging software (e.g., FSL, MRtrix, DSI Studio, ANTs) and programming (e.g., Python, MATLAB)
  • Experience working with large-scale neuroimaging datasets
  • Familiarity with aging, cognitive neuroscience, Alzheimer’s disease, or related areas (preferred)
  • Excellent scientific writing and communication skills
  • A collaborative, independent, and highly organized approach to research

The salary range for this position is $70,000 to $75,000.

How to Apply

Interested applicants should submit the following materials:

  • Cover letter
  • Curriculum vitae

Please send all application materials to Jaime.RamosCejudo@NYULangone.org.

Precision Medicine—August 29, 2025

NYU Langone Health’s Division of Precision Medicine is seeking highly motivated postdoctoral candidates interested in the application of clinical epidemiology and computational methods to patient care. Ongoing projects include work in pharmacoepidemiology, implementation science, and integrative omics, with a focus on cardiovascular and kidney disease.

Candidates should have strong quantitative skills, a collaborative nature, excellent writing skills, and an MD or PhD.

The salary for this position is $80,000.

How to Apply

To apply, please send the following materials:

  • Curriculum vitae
  • Short statement of experience, goals, and interest in the position

Please email your application to Morgan Grams, MD, PhD at Morgan.Grams@NYULangone.org and Tony Lam at Tony.Lam@NYULangone.org.

Health Equity Regional Organization Project, HEAL Lab—August 14, 2025

The Health Evaluation and Analytics Lab (HEAL) at NYU Langone Health, led by Charles J. Neighbors, MBA, PhD, is offering a postdoctoral fellowship. The postdoctoral fellow will work within the Health Equity Regional Organizations (HERO) project portfolio. This one-year position offers an exceptional opportunity for a recent PhD graduate to gain valuable experience in policy-relevant research at the intersection of health services, health-related social needs (HRSN), social care networks, and population health.

In this role, the fellow will play a key part in carrying out data analysis and interpreting findings on large-scale Medicaid claims data. Their work will contribute to understanding the implementation of social care networks, policy impacts, and economic factors within the Medicaid system.

The salary range for this position is $72,000 to $74,000.

How to Apply

Interested applicants should submit the following materials:

  • Curriculum vitae
  • Cover letter detailing career goals and qualifications for the role
  • Contact information for three references

Please submit all application materials as a single PDF to Shilpa.Londhe@NYULangone.org.

Movement Disorder Genetics—August 6, 2025

A postdoctoral position is available in the laboratory of Giulietta M. Riboldi, MD, PhD at NYU Grossman School of Medicine. The Riboldi Lab focuses on the genetics of Parkinson’s disease and rare movement disorders to better understand the causative mechanisms of these conditions and their interplay with inflammatory and environmental factors.

The candidate will work on multi-omics, biomarker, and clinical data from a large dataset of patients with Parkinson’s disease, with a specific focus on young-onset Parkinson’s disease from our center. The proposed research involves cutting-edge bioinformatic analysis and the implementation of new bioinformatics pipelines for the characterization of disease phenotypes.

We are seeking a motivated candidate interested in advancing multi-omics research to improve our understanding of Parkinson’s disease.

Required Qualifications

  • PhD, MD/PhD, MD, or other relevant doctoral degree
  • Previous experience with data science, multi-omics data analysis, and computational skills
  • Preference will be given to candidates with prior experience in Parkinson’s disease, movement disorders, neurodegeneration, or other neurological fields
  • Ability to work independently and a strong interest in addressing meaningful biological questions through scientific research

The salary range for this position is $70,000 to $75,000.

How to Apply

Interested applicants should submit the following materials:

  • Curriculum vitae
  • Cover letter describing career goals, qualifications for the role, and interest in the research
  • Contact information for three professional references

Please send all application materials to Giulietta.Riboldi@NYULangone.org.

Exploiting APOBEC3 Mutagenesis Toward New Therapeutic Strategies in Cancer—July 23, 2025

The Petljak Lab at NYU Langone Health is seeking a motivated and creative Postdoctoral Fellow to join our multidisciplinary team dedicated to uncovering the causes and consequences of somatic mutagenesis in cancer. Our lab combines cutting-edge experimental and computational approaches to identify both cell-intrinsic and environmental sources of DNA damage and mutations, and to explore their roles in cancer development and evolution. To achieve this, we leverage mutational signatures—distinct, genome-wide mutation patterns caused by specific DNA-damaging processes—as quantifiable DNA fingerprints of individual mutagenic exposures. Ultimately, we aim to identify the mutational processes that drive cancer and translate these discoveries into novel preventive and therapeutic strategies.

Key concepts: somatic mutations, mutational signatures, APOBEC3 mutagenesis

Position Summary

The APOBEC3 family of cytosine deaminases are innate immune enzymes that restrict viral replication by deaminating cytosine and cytidine in viral DNA and RNA. In cancer, however, APOBEC3 enzymes become misregulated and aberrantly target the genome—generating mutations in over 50% of individual cancers and more than 80% of tumor types. This mutagenic activity fuels tumor heterogeneity, cancer evolution, and therapy resistance.

Our lab has defined key mechanisms, models, and roles of APOBEC3-driven mutagenesis in cancer, including the causal contributions of endogenous APOBEC3A and APOBEC3B enzymes as major sources of mutations and tumor heterogeneity, as highlighted in our recent publications (Cell, 2019; Nature, 2022; Nature Genetics, 2023).

Building on this work, the successful candidate will lead and conduct in vitro and in vivo studies to investigate the mechanisms of APOBEC3 misregulation and explore how this activity can be therapeutically exploited. Specific aims may include:

  • Elucidating how APOBEC3 activity is regulated and dysregulated in cancer
  • Exploring novel therapeutic approaches that exploit APOBEC3 misregulation to improve cancer outcomes
  • Identifying biomarkers to stratify patients who may benefit from APOBEC3-targeting strategies

Research will be carried out at the newly renovated CURE facility in the heart of Manhattan, a state-of-the-art center equipped with advanced technologies to support innovative research. Mentorship will be provided by Dr. Mia Petljak, who will offer guidance in translating research findings into patents and start-up opportunities.

Required Qualifications

  • PhD or MD/PhD
  • Preference given to candidates with prior experience in cancer biology, cancer therapeutics, and in vivo models
  • Computational experience not required

The salary range for this position is $70,000 to $80,000 depending on completed years of experience.

How to Apply

The application must include both a CV and a one-page cover letter outlining the candidate’s interest in the Petljak Lab, the research area, and their qualifications for the role. Applications submitted without a cover letter will not be considered. Please send all materials to Mia.Petljak@NYULangone.org.

Neural Circuits of Sensorimotor Control of Arm Movements—June 27, 2025

A postdoctoral researcher position is available in the laboratory of Alice C. Mosberger, ScD at NYU Grossman School of Medicine. The Mosberger Lab focuses on sensorimotor circuits that orchestrate skilled arm movements. We use novel behavioral paradigms in head-fixed mice and combine them with intersectional anatomical mapping, precise neural circuit and muscle recordings, pathway-specific manipulations, and computational analysis.

We are looking for a highly motivated candidate with a strong research record and an excitement for dissecting the function of neural circuits. Experience with rodent behavior, systems neuroscience methods, and computational analysis of neural data is preferred.

A PhD or equivalent in biomedical or physical sciences is required.

As of December 1, 2023, salaries for NYU Langone postdoctoral positions start at $70,000 per year.

How to Apply

Interested candidates should email Dr. Alice Mosberger at Alice.Mosberger@NYULangone.org with the following materials:

  1. Curriculum vitae
  2. Cover letter describing your research background, interests, and qualifications for the position

Inflammation and Hematologic Disease—June 9, 2025

The Beck Lab in the Center for Human Genetics and Genomics at NYU Grossman School of Medicine is seeking highly motivated and talented candidates for fully funded postdoctoral positions starting Summer 2025.

Our group is interested in understanding the genetic determinants of disease and utilizing this information to define the mechanisms underlying pathologic processes. We use a combination of patient-derived samples, mouse and cellular models, and in vitro biochemical tools to dissect these pathways. Our major focus is on characterizing autoinflammatory diseases, or diseases of constitutive activation of the innate immune system, frequently caused by genetic mutations.

In particular, our recent discovery of VEXAS Syndrome (Vacuoles, E1, X-linked, Autoinflammatory, Somatic Syndrome)—a severe inflammatory disease affecting hundreds of thousands of individuals that is caused by somatic mutations in UBA1—highlights the power of integrating clinical studies, human genetics, and molecular biology to uncover previously unrecognized pathways and diseases. We are looking for postdocs with expertise in any of the following fields to join our lab and lead a stimulating project: immunology, cell signaling, mouse models, biochemistry, or experimental pharmacology.

Selected publications:

  • Beck DB … Grayson PC. Somatic mutations in UBA1 and severe adult-onset autoinflammatory disease. N Engl J Med. 2020. DOI.
  • Collins JC … Werner A. Shared and distinct mechanisms of UBA1 inactivation across different diseases. EMBO J. 2024. DOI.
  • Ferrada MA … Beck DB. Translation of cytoplasmic UBA1 contributes to VEXAS syndrome pathogenesis. Blood. 2022. DOI.

The Beck Lab is part of the vibrant NYU Grossman School of Medicine campus located in the heart of Manhattan. NYU offers postdoctoral scholars competitive benefits, subsidized housing in New York City, and many career development opportunities. More information is available through the NYU Langone Postdoctoral Training Program.

The salary range for this position is $70,000 to $80,000.

How to Apply

Prospective candidates should email an application package to Dr. David Beck at David.Beck@NYULangone.org containing:

  1. Curriculum vitae
  2. Short cover letter describing your expertise and research interests

Applications will be reviewed on a rolling basis.

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