Postdoctoral Fellow-MSH-12756-010
About The Position
The Department of Otolaryngology-Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai seeks a highly motivated postdoctoral research fellow interested in environmental epidemiology, multi-omics integration, and bioinformatics. The fellow will join a multidisciplinary research team investigating how environmental exposures contribute to the development and progression of head and neck diseases. The research combines large-scale epidemiological data with genomics, epigenomics, transcriptomics, and metabolomics to examine molecular mechanisms underlying environmental health effects and disease susceptibility. The role is suited to candidates with backgrounds in environmental epidemiology, bioinformatics, computational biology, or biostatistics who want to apply advanced statistical and computational approaches to environmental exposure, molecular mechanism, and disease research. The fellow will have opportunities to lead research projects, develop analytical approaches, collaborate across disciplines, and contribute to scientific publications. The position is full-time, located in New York, NY, with a start date in Fall/Winter 2026. The stated annual salary range is $74,692.00–$80,000.00; actual salary depends on factors including experience, education, and operational need.
Requirements
- Doctoral degree, such as a PhD or MD.
- PhD in epidemiology, bioinformatics, biostatistics, computational biology, or a related field.
- Strong statistical and computational skills, including proficiency in R and/or Python.
- Experience analyzing complex epidemiological, high-dimensional biological, or multi-omics datasets.
- Excellent analytical and problem-solving skills.
- Strong scientific writing skills, including experience preparing manuscripts for peer-reviewed publication.
- Ability to independently develop and execute research projects.
- Ability to work on multiple concurrent projects.
- Ability to work independently and collaboratively within a multidisciplinary research team.
- Strong organizational and time management skills, with the ability to meet deadlines.
Nice To Haves
- Experience in environmental epidemiology, molecular epidemiology, or exposure assessment.
- Experience analyzing and integrating multi-omics data, including genomics, epigenomics, transcriptomics, proteomics, and/or metabolomics.
- Experience with bioinformatics pipelines and computational tools for processing and analyzing omics datasets.
- Knowledge of advanced statistical methods for high-dimensional data analysis, including machine learning and data integration approaches.
- Experience combining molecular data with epidemiological and environmental exposure data.
- Familiarity with causal inference and mediation analysis.
- Experience working with large-scale population-based cohorts and complex epidemiological datasets.
- A strong publication record and demonstrated ability to communicate scientific findings effectively.
- Experience with grant writing or developing research proposals.
Responsibilities
- Conduct large-scale statistical and bioinformatics analyses of epidemiological and multi-omics datasets.
- Investigate associations between environmental exposures and head and neck diseases using advanced epidemiological and computational approaches.
- Integrate environmental exposure, epidemiological, and multi-omics data to identify molecular pathways and biological mechanisms underlying disease risk.
- Develop and apply statistical and computational methods for analyzing high-dimensional and multi-modal datasets.
- Lead the preparation and publication of scientific manuscripts in peer-reviewed journals.
- Present research findings at national and international scientific conferences.
- Collaborate with epidemiologists, bioinformaticians, basic scientists, clinicians, and other researchers across multidisciplinary projects.
- Contribute to grant applications and the development of research proposals.
- Maintain well-documented and reproducible analytical workflows.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
