Available Positions for Postdoctoral Fellows | NYU Langone Health

Available Positions for Postdoctoral Fellows | NYU Langone Health
Available Positions for Postdoctoral Fellows | NYU Langone Health
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Postdoctoral Affairs
Available Positions for Postdoctoral Fellows
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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:
Postdoctoral Fellow in Transcriptional Regulation of Prostate Cancer—April 14, 2026
Postdoctoral Research Fellow in Perinatal Neuroimaging—April 8, 2026
Systems Immunology and Cardiovascular Disease, Giannarelli Laboratory—March 31, 2026
Translational Human Immunology in Cardiothoracic Transplantation—March 31, 2026
Precision Functional Mapping of Fronto-Striatal Circuits—March 17, 2026
Postdoctoral Position in Metabolism and Immunity—February 19, 2026
Proteomics, Transcriptomics, and Inflammation in Alzheimer’s Disease—February 11, 2026
Transcriptional Control and Cell Signaling in Prostate Development and Cancer — January 9, 2026
Postdoctoral Fellow (Bioinformatics), Thrombosis and Immunology—December 12, 2025
Natural Language Processing, Machine Learning, and Artificial Intelligence—December 12, 2025
Postdoctoral Fellowship in Diffusion Magnetic Resonance Imaging—December 2, 2025
Postdoctoral Fellow, Microbiome and Molecular Epidemiology—December 2, 2025
Statistical and Computational Genetics—October 10, 2025
Models of Hair Follicle Neuroinflammation—September 26, 2025
Hair Follicle Disease Modeling and Functional Genomics — September 26, 2025
Postdoctoral Position in Structural Immunology and Virology—September 26, 2025
Diffusion MRI and Alzheimer’s Disease Research—September 26, 2025
Precision Medicine—August 29, 2025
Health Equity Regional Organization Project, HEAL Lab—August 14, 2025
Movement Disorder Genetics—August 6, 2025
Exploiting APOBEC3 Mutagenesis Toward New Therapeutic Strategies in Cancer—July 23, 2025
Neural Circuits of Sensorimotor Control of Arm Movements—June 27, 2025
Inflammation and Hematologic Disease—June 9, 2025
Postdoctoral Fellowship in Alzheimer’s Translational Research—April 25, 2025
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:
Curriculum vitae
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:
Curriculum vitae
Short cover letter describing your expertise and research interests
Applications will be reviewed on a rolling basis.
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