Postdoctoral Researcher

About the Role

The Department of Otolaryngology-Head and Neck Surgery at the Icahn School of Medicine at Mount Sinai seeks a postdoctoral research fellow with interests in environmental epidemiology, multi-omics integration, and bioinformatics. The candidate will join a multidisciplinary research team investigating the role of environmental exposures in the development and progression of head and neck diseases. The research integrates large-scale epidemiological data with multi-omics approaches (genomics, epigenomics, transcriptomics, metabolomics) to understand molecular mechanisms underlying environmental health effects and disease susceptibility.

Key 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 innovative 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 new research proposals.
• Maintain well-documented and reproducible analytical workflows.

Requirements & Tech Stack

• Doctoral degree (e.g., PhD, MD) is required.
• 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 as well as collaboratively within a multidisciplinary research team.
• Strong organizational and time management skills, with the ability to meet deadlines.

Preferred Qualifications

• 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.