Postdoc Fellow - Immunological Aging & Social Determinants

IMDiversity; New York (NY); On-site; USD 70,000 - 80,000; Full time

Job summary

The Postdoctoral Associate will join the BASE Lab in the Department of Social and Behavioral Sciences at NYU School of Global Public Health. The role focuses on NIH-funded and other externally funded research examining how social determinants of biological health influence immunological aging across the life course.

Candidates should have a doctoral degree and strong quantitative skills, with experience handling large longitudinal datasets and a track record of scientific writing.

Qualifications

• Doctoral degree in epidemiology or related field required.
• Strong quantitative analytic skills and experience with large longitudinal datasets.
• Demonstrated scientific writing record.

Responsibilities

• Lead and contribute to analyses of large epidemiologic datasets.
• Prepare manuscripts for publication in peer-reviewed journals.
• Assist with the development and preparation of grant proposals.
• Mentor graduate and undergraduate students involved in research.
• Collaborate with interdisciplinary investigators on NIH-funded and other externally funded research.
• Conduct research examining how social determinants of biological health influence immunological aging across the life course.
• Develop independent research projects that align with the mission and priorities of the BASE Lab.
• Contribute to the overall research activities of the BASE Lab and the Department of Social and Behavioral Sciences.

Skills

Quantitative analytics

Longitudinal data analysis

Scientific writing

Education

PhD in epidemiology

Job description

The Postdoctoral Associate will join the BASE Lab in the Department of Social and Behavioral Sciences at NYU School of Global Public Health. The role focuses on NIH-funded and other externally funded research examining how social determinants of biological health influence immunological aging across the life course.

Candidates should have a doctoral degree and strong quantitative skills, with experience handling large longitudinal datasets and a track record of scientific writing.