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 opportunities by searching the NYU Grossman School of Medicine website for a researcher or department that interests you. There may be additional research opportunities available.
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.
NYU Grossman School of Medicine is an equal opportunity employer committed to fostering diversity for postdoctoral fellows in the workplace. The following positions offer competitive salaries, excellent benefits, and eligibility for student housing.
Optical Metasurfaces for Bio-imaging and Bio-sensing—May 1, 2020
A postdoctoral position is open in the Cai Nano-Optical Bio-Engineering Lab, part of the Tech4Health Institute at NYU Grossman School of Medicine. We build new paradigms of nanotechnology for use in biological and biomedical applications, including optical metasurfaces for bio-imaging and bio-sensing and nano-engineered biomimetic surfaces for mechanobiology.
Our lab aims to develop more precise optical probes and ultra-compact imaging and sensing devices. We seek to create next-generation optical systems with dynamic and tunable metasurfaces that are integrated across functional platforms.
Candidates must have a PhD in engineering (electrical, mechanical, chemical, biomedical), materials science, physics, chemistry, or other related fields. Those with expertise in optical metasurfaces (near infrared, visible), nanofabrication (hands-on cleanroom experience), soft materials, and biomedical applications are encouraged to apply.
Those with a strong background in optics and rich experience in optical experiments, finite-difference time domain (FDTD) simulation, high-resolution nanofabrication (e-beam lithography), and tunable/responsive soft materials (e.g., liquid crystalline polymer/elastomer, molecular tension probes) are preferred. Experience that spans multiple fields is a plus.
We seek candidates who are strongly motivated, open-minded, and capable of both independent and collaborative research work. Demonstrated ingenuity, productivity, communication and writing skills, and an excellent record of publications is preferred.
Job responsibilities include the following:
- design, simulation, fabrication, characterization of static and tunable metasurfaces in the near-infrared and/or visible spectra
- timely and accurate completion of research projects using novel ideas and new techniques and methodologies
- original contributions to scientific papers, as an author, co-author, or resource for articles or presentations
- editing and proofing grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the principal investigator
- may train graduate students, research associates or technicians in experimental design, technique, and performance and identifies and resolves technical problem in research projects
- may initiate, organize, executes and coordinate scientific activities between labs and collaborators
- maintain a thorough knowledge of advances in specialized fields to advance research goals, bring new expertise, provide recommendations for equipment purchase and lab space organization
- other duties as assigned
To apply, send your CV to Haogang Cai, PhD, at firstname.lastname@example.org. Please include a detailed description of your research interests and a full list of publications.
Ion Channels and Immunology—May 1, 2020
The laboratory of Stefan Feske, MD, is seeking a postdoctoral scientist for projects focused on studying immunity to infection and autoimmunity. Research in the Feske Lab is focused on how ion channels regulate the function of immune cells and immune responses to infections, tumors, and self-antigens (autoimmunity).
Areas of interest include the role of calcium release-activated channels (CRAC) and novel ion channels involved in immune cell development, inflammatory responses, immunity to infection, antitumor immunity, and autoimmunity. We study how ion channels control cell function and regulate downstream signaling events and gene expression to shape immune cell function. For our studies, we use gene editing in primary immune cells, mice with targeted deletion of ion channels, and human patients with mutations in channel genes.
Our well-funded and diverse laboratory provides a stimulating and scientifically rigorous environment that encourages scientific growth and fosters the independent careers of postdoctoral trainees. Our research is published in leading journals including Nature, New England Journal of Medicine, Immunity, Cell Metabolism, Nature Immunology, Nature Communications, Journal of Experimental Medicine, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences of the United States of America, and more.
The Feske Lab is part of a vibrant immunology community at NYU Grossman School of Medicine. Dr. Feske leads the Ion Channels in Immunity Program, which provides a rich environment for research in this field. The program consists of a core facility, seminar series, and symposia focused on the role of ion channels in immune cell function.
This position is ideal for a postdoc interested in studying immune responses to infection, tumors, or autoimmunity. Although the lab studies ion channels, no prior knowledge or experimental expertise in ion channel physiology is required.
Candidates must have a PhD or MD/PhD with a strong background in immunology, significant technical expertise in molecular and cell biology, experience in murine models of immunity, and publications in peer-reviewed journals originating from PhD or postdoctoral work. The ideal candidate has excellent verbal and written communication skills in English, as well as organizational skills, self-motivation, and creativity.
Please send a cover letter explaining your relevant work experience and interests, a CV, and the contact information of three references to Dr. Feske at email@example.com
The Microbiome as a Therapeutic Target of the Future—March 25, 2020
Several dry and wet lab postdoctoral positions are available in the laboratory of Jonas Schluter, PhD at NYU Langone’s Institute for Computational Medicine. The Schluter Lab is working to develop the microbiota into a therapeutic target for the future.
The human body has evolved to be a remarkable engineer of microbial ecosystems. We study fundamental evolutionary principles of the difficult relationship between hosts and microbial ecosystems. Building on this deep understanding, we develop data-driven strategies to identify which components of the microbiome could be leveraged to improve human health.
We analyze massive clinical data sets with vast numbers of longitudinal microbiota samples from thousands of patients. This data is unprecedented, and we are developing new methods to understand such complex timeseries data. Open questions include: what are the impacts of different drugs on the microbiota and how does this affect homeostasis of the body?
Positions are available in the following areas.
Developing Evolutionary and Ecosystems Strategies to Control Complex Microbial Communities
Starting from basic evolutionary principles and ecological theory, we are developing experimental screens, in vitro and in vivo, of microbial compounds to learn how naturally evolved components of the arsenal of microbial warfare, such as quorum sensing molecules, could be used in microbiome engineering.
Analyzing Massive Data Sets
We are developing new machine-learning and Bayesian approaches for the largest longitudinal microbiota and clinical data sets that include more than 12,000 microbiota samples and millions of clinical data points. Observational timeseries data allows the inference of mathematical causality between host phenotypes and microbiota dynamics, and we leverage dramatically underutilized “hospitalome” data sets to improve therapies and medication stewardship.
Developing Evolutionary Theory of the Microbiome
Using computer simulation frameworks and mathematical approaches, we want to understand the game–theoretical underpinning of the dynamics observed in host-associated microbial communities. This fundamental understanding is needed if we are to learn from our own bodies how to become better microbiota engineers.
Ultimately, our goal is to improve health. We conduct randomized-controlled trials directly in patients and healthy volunteers, for example during cancer therapy, to leverage the microbiota as an immune modulator. To subtly control immunity via microbiota manipulations can have tremendous impact on the future of medicine, in immunotherapy, vaccine development, neurodegenerative disorders, and beyond.
To learn more and apply, contact Dr. Schluter at firstname.lastname@example.org.
Mathematical Modelling for HIV/AIDS Policy—March 16, 2020
The Department of Population Health at NYU Langone is recruiting a postdoctoral fellow to conduct mathematical modeling to inform resource allocation and policy development related to the HIV/AIDS pandemic in sub-Saharan Africa.
With supervision from Anna Bershteyn, PhD, the fellow develops, calibrates, and runs agent-based network models of infectious disease transmission, health systems, and health-related resource allocation in sub-Saharan Africa. The fellow also collaborates with international modelers, implementation scientists, and local health authorities in multiple high-burden countries. Travel to conferences and international stakeholder meetings is available, but ability to travel is not a requirement to hold the position.
Other primary fellowship responsibilities include the following:
- synthesize and incorporate evidence regarding the impact, cost, and access of interventions across affected subpopulations using data from published literature, population-based surveys, and health authorities and implementers
- perform model-based impact estimation, economic analysis, and optimization to maximize the impact of HIV treatment and prevention services
- investigate the role of networks in potential strategies to improve health and accelerate reductions in HIV transmission
- research findings through written and oral presentations to both policy and academic audiences
- distribute open-source tools for mathematical modeling, including support for investigators in countries most effected by the HIV/AIDS pandemic
Individuals with training in a health-related field who have strong quantitative skills or those with training in a quantitative field (e.g., computer science) who have an interest in global health are welcome to apply. A working knowledge of object-oriented programming in Python is required. Candidates with experience in C/C++, health policy, or health economics are preferred. Excellent oral and written communication skills are necessary given the highly collaborative nature of the project.
To apply, send statement of interest and CV to Dr. Bershteyn at email@example.com.
Research Scientist Liaison with Biotech Startup—February 18, 2020
A research scientist position is open in the laboratory of Leslie I. Gold, PhD, for candidates in the field of tissue regeneration research to serve as a liaison between our academic laboratory and a biotechnology startup.
This position is an excellent and exciting opportunity to gain exposure to all aspects of translational medicine, including patent law, formulation, pharmacodynamics and toxicology, clinical trials, and U.S. Food and Drug Administration regulations.
Our lab explores the basic science mechanisms related to the novel functions of the calcium-binding endoplasmic reticulum chaperone protein calreticulin for a variety clinical applications. We discovered calreticulin has profound positive biological effects on wound repair and tissue regeneration, creating an exciting new research field. Calreticulin is being developed for other indications including the treatment of corneal wounds as well as hair follicle neogenesis and tissue reconstruction.
We know that topical application of calreticulin heals wounds by tissue regeneration, showing epidermal appendage neogenesis to hair follicles without scarring. In vitro, calreticulin induces migration of cells to resurface the wound, proliferation of cells to populate the wound, the production of extracellular matrix proteins to remodel and reconstruct the wound defect, removal of dead cells for wound debridement, and prevention of infection. Studies are underway to understand the mechanisms and pathways involved in these novel extracellular functions of calreticulin, as well as the structure and function relationships of the molecule.
The ideal candidate should be creative, highly motivated, work independently, and have a strong background in tissue culture, cell biology, and general molecular biology and biochemical techniques including migration assays. We offer a highly enriched and interactive basic science environment and well-renowned young scientist programs for independent growth.
The research scientist position is limited to U.S. citizens, candidates with a green card, or current J1 or other visa. Please send your CV and at least three references to Dr. Gold at firstname.lastname@example.org.
Iron Metabolism in Human Disease—February 11, 2020
Several postdoctoral positions to study iron metabolism in human disease are available in the laboratory of Richard Possemato, PhD, assistant professor, at NYU Langone’s Department of Pathology. Positions have R01-grant support from the National Cancer Institute and National Institute of General Medical Sciences, as well as multiple biomedical research foundations.
The Possemato Lab explores basic mechanisms of cellular iron sensing, disorders of iron metabolism, and the targeting of iron metabolism pathways in cancer. Ongoing research projects include the following:
- understanding whether alterations in iron-sulfur cluster synthesis underlie sideroblastic anemia present in patients with myelodysplastic syndrome
- developing mouse models to ascertain whether dysregulation of iron signaling is responsible for Friedreich’s ataxia
- characterizing the impact of inhibiting iron-sulfur cluster synthesis on normal and transformed tissues
- leveraging altered iron metabolism to induce ferroptosis in cancer cells
We utilize a combination of cutting-edge cell and mouse genetic engineering methods, genetic screening, metabolomics, and high-throughput sequencing methods to interrogate these areas of biology.
Our lab has 10 full-time members and is part of a vibrant cancer metabolism community at NYU Langone’s Perlmutter Cancer Center. Postdocs have the opportunity to attend international conferences in the field and engage with field scientific leaders. For examples of research being done in the lab, see our recent publications in Nature and Molecular Cell.
The ideal candidate is enthusiastic and highly motivated, has recently obtained a PhD or is about to graduate from a PhD program, and has a record of quality scientific work. Please email email@example.com with your CV or with any questions about our research, NYU Langone, and the lab.
Biomedical Data Scientist—February 4, 2020
The Department of Neurosurgery and Department of Pathology at NYU Langone aim to leverage advances in optics and computer science to bring about improvements in the diagnosis and treatment of cancer. We are seeking a creative, passionate, and self-motivated postdoctoral fellow to join a National Institutes of Health-funded initiative to automate key elements of brain tumor diagnosis and detection.
Our group draws on expertise in artificial intelligence, pathology informatics, molecular diagnostics, and the clinical care of patients who have cancer. We aim to develop computational tools to better inform clinical decision-making by making molecular diagnostic data rapidly available to practicing physicians.
The fellow works closely with faculty mentors, peers, and students in our laboratory, as well as clinicians and technicians at NYU Langone. Duties and responsibilities include, but are not limited to, development of machine learning algorithms to predict clinically relevant molecular signatures, design and execution of clinical validation studies, publication of results in peer reviewed journals, and presentation at group meetings, as well as at local and national scientific conferences.
Candidates are required to have a PhD or MSc in data science, computer science, or a related field, experience in Unix/Linux systems including high-performance computing environments, and strong programming skills in R and Python. You must have a working knowledge of convolutional neural networks and related machine learning algorithms, and general knowledge of algorithms, data structures, and statistics.
Other necessary qualities include strong communication and analytical skills, proficiency in written and oral English, attention to detail, and the ability to work on multiple projects and meet deadlines. The ideal candidate has a strong publication track record. Fellows work both independently and on a multidisciplinary team with MDs and PhDs.
Please submit your CV, a brief summary of current and future research interests, a description of past research experience and accomplishments, and three references to Daniel A. Orringer, MD, at firstname.lastname@example.org, and Aristotelis Tsirigos, PhD, at email@example.com.
Stem Cell Biology, Tissue Maintenance and Regeneration, and Metabolism—January 30, 2020
The laboratory of Michael N. Wosczyna, PhD, in the Department of Orthopedic Surgery and the Musculoskeletal Research Center at NYU Langone, will have open postdoctoral positions beginning March 2020. The laboratory investigates the molecular and cellular mechanisms of tissue maintenance and regeneration, and of global metabolism. We are specifically interested in the role of mesenchymal progenitor/stem cells in these processes, which we model in skeletal muscle and adipose tissue. We investigate these mechanisms using progressive mouse models of disease, in vivo lineage tracing and genetic cell manipulation, coupled with advanced molecular assays, such as single cell transcriptomics.
We are interested in candidates from a broad range of research experiences, including but not limited to stem cell biology, molecular biology, and bioinformatics. Interested candidates should contact Dr. Wosczyna by email at firstname.lastname@example.org and include a brief summary of current research efforts and future goals, a CV, and a list of three references. Candidates should have a PhD and/or an MD degree.
Cancer and Stem Cell Biology Postdoctoral Fellowship—November 26, 2019
Postdoctoral positions are available immediately in the Schober Laboratory at NYU School of Medicine. We seek highly motivated candidates who are interested in cancer and stem cell biology. Markus Schober, PhD, is an assistant professor in the Ronald O. Perelman Department of Dermatology and the Department of Cell Biology and has affiliations with the Perlmutter Cancer Center and the Helen L. and Martin S. Kimmel Center for Stem Cell Biology at NYU Langone Health.
The Schober Laboratory develops innovative experimental approaches to uncover cellular and molecular mechanisms that govern stem cell self-renewal, phenotypic plasticity, and chemotherapy resistance in mouse- and patient-derived squamous cell carcinoma models. We combine gene editing (CRISPR) and next generation sequencing (RNA-seq, ChIP-seq, ATAC-seq) approaches to decipher gene regulatory networks that are central to tumor growth and cancer progression.
Creative scientists with an interest in stem and cancer cell biology and gene transcription are encouraged to apply. Candidates should have a PhD and/or MD degree in genetics, molecular biology, cell biology, or biochemistry, a record of peer-reviewed publications, and good written and oral communication skills. An interest in bioinformatics is beneficial.
To be considered, please submit your CV, a brief summary of current and future research interests, a description of past research experience and accomplishments, selected reprints of publications, a possible start date, and three references to Dr. Markus Schober at email@example.com.
NYU Grossman School of Medicine is an equal opportunity employer with a strong commitment to diversity among our faculty and staff. Women and applicants from diverse racial, ethnic, and cultural backgrounds are encouraged to apply.