Reporting to Associate Professor Daniel Belsky, the Postdoctoral Research Scientist develops and leads projects related to and working in close collaboration with Belsky’s program of research into (1) development of omics-based aging biomarkers (we specialize in molecular speedometers to measure Pace of Aging); (2) omics analysis of clinical trials to determine impact on aging biology; (3) omics analysis of social policy trials to investigate impacts on aging biology; (4) life course epidemiology of aging. Specifically, the postdoctoral scholar will apply for mentored and independent research funding to support research on biological aging; they will lead preparation of scholarly manuscripts reporting research from these new projects and projects ongoing within Belsky’s group; and they will contribute as a collaborator on other ongoing projects.

MAJOR ACCOUNTABILITIES:

• Collaborate on research mentored by PI Belsky to design, plan, and execute research into:
  • development of omics-based aging biomarkers
  • omics analysis of clinical trials to determine impact on aging biology
  • omics analysis of social policy trials to investigate impacts on aging biology
  • life course epidemiology of aging
• Prepare career-development award applications to the NIH and other funders to support the postdoc’s transition to an independent scientist role.
• Attend regular one-on-and and/or small-group meetings with PI Belsky to review progress, trouble-shoot challenges, and plan next steps.
• Perform other job duties as assigned.

REQUIRED QUALIFICATIONS:

• PhD in computational or systems biology, bioinformatics, biostatistics, data science, biomedical engineering, epidemiology, or fields related to quantitative population health science
• Experience and expertise in research using large datasets and/or highdimensional data.
• Strong scientific writing skills.
• Fluency with R software.

PREFERRED QUALIFICATIONS:

• Experience and expertise in analysis of high-dimensional genomic data, including DNA methylation.
• Experience and expertise in analysis of longitudinal data
• Experience and expertise in analysis of clinical trial data.

Subject to business needs, we may support flexible and hybrid work arrangements. Options will be discussed during the interview process.

Appointments are made on a fiscal year basis and are eligible for renewal each July 1st, contingent upon performance and funding.

The search will remain open for at least 30 days after the ad appears and will continue until the position is filled.

Columbia University benefits are offered with this Officer of Research appointment.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training.  The above hiring range represents the University?s good faith and reasonable estimate of the range of possible compensation at the time of posting.

About Columbia University

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