{"id":3660714,"url":"https://alion.io/job/mountsinainyc-postdoctoral-fellow","title":"POSTDOCTORAL FELLOW","company":{"id":64028,"name":"Mount Sinai Health System","domain":"mountsinai.org","url":"https://alion.io/company/mountsinainyc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":87,"open_postings":459,"ghost_share":0,"stale_share":0.51,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Science & Research","role_family":"Science & Research","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Next-Generation Sequencing","optional":false}],"status":"live","first_seen_at":"2020-02-27T17:31:15Z","employer_posted_date":"2020-02-27","last_verified_at":"2026-11-07T12:36:31Z","board_verified":true,"closed_at":null,"days_open":2445,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":2444},"description":"Roles & Responsibilities:\nWe are seeking highly motivated postdoctoral associates for a position to join a vibrant, interactive computational and experimental environment. The first position is in the Physical Activity Genomics, Epigenomics/transcriptomics Site (PAGES) of the NIH Molecular Transducers of Physical Activity Consortium (MoTrPAC), to develop methods for the identification of molecular fingerprints of physical activity in humans and animal models. \nThe successful candidates will become key members of cutting edge interdisciplinary biomedical research teams, involved in many aspects of multi-omics data analysis and the development of methods for data integration. They will collaborate closely with the other program sites to coordinate analysis and data dissemination efforts. \nThe ideal candidates will have a strong research background, good quantitative and programming abilities, along with a demonstrated interest in applying these skills to problems in biology. 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