82 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" Postdoctoral positions at Yale University
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— including those interested in human evolution, building new genomic tools, or analyzing complex data — would find a project here. Strong communication skills and the ability to work both independently and as
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: cancer etiology, cancer outcomes, lifestyle behavioral interventions, aging and cancer, implementation science, community-engaged research, and cancer data science. The program is enabled by over 35
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experience are all desirable. Application Instructions As of February 20th, 2026, applicants may begin to upload their materials online via Interfolio. INTERFOLIO LINK: https://apply.interfolio.com/181934
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, while also playing a key role in the day-to-day operations of a dynamic team of faculty, research scientists, and students committed to advancing LGBTQ mental health through research (https
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submit application materials electronically to Interfolio at https://apply.interfolio.com/178923 . The review process will begin January 5, 2026. We will continue to accept applications until the position
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critical for this role, as collaborators include health economists, mathematical modelers, and policy experts across several academic institutions. Responsibilities will focus on data preparation, coding and
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molecular data using advanced computational and statistical approaches to identify early biomarkers of neurodegeneration. Qualifications: PhD in Biomedical Engineering, Neuroscience, Neuroimaging, Physics
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). Maintain rigorous experimental documentation, data management practices, and reproducible analysis pipelines. Present results at lab meetings, departmental seminars, and scientific conferences; contribute
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, an understanding of computational data analysis is highly encouraged and supported. Research activities may include: Culture and maintenance of mammalian cancer cell lines and our established pre-clinical platform
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multiomic data from these cohorts and work alongside neurosurgeons, wet-lab scientists, and clinical collaborators. Responsibilities Analyze WES/WGS sequencing data, including germline and somatic variant