Postdoctoral Associate

About the Role

The Postdoctoral Associate performs scientific research and studies under the supervision of managing staff, contributing to institutional recognition through publications in the scientific community. This position is ideal for an individual seeking advanced training toward an independent research career in epidemiology, population health, or a related field.

Key Responsibilities

• Conduct research on specific areas of study as assigned.
• Prepare research reports and technical papers for publishing.
• Investigate the feasibility of applying scientific principles and theories.
• Maintain substantial knowledge of state-of-the-art principles and theories.
• Develop advanced analytical models and systems to support strategic and tactical decisions.
• Adhere to University and unit-level policies and procedures.
• Lead and collaborate on epidemiologic research projects from conception to publication.
• Conduct statistical analyses of large, complex longitudinal cohort and survey datasets.
• Apply appropriate epidemiologic and statistical methods, including longitudinal and time-to-event analyses, complex survey methods, and risk prediction.
• Lead the preparation of first-author manuscripts and contribute to collaborative manuscripts.
• Conduct literature reviews and synthesize existing evidence.
• Contribute to the development of grant applications, including scientific writing and preparing analyses.
• Develop clear tables, figures, and data visualizations and present research findings.
• Work collaboratively with investigators, statisticians, clinicians, trainees, and external collaborators.
• Assist with mentoring students and trainees.
• Maintain rigorous documentation and adhere to principles of reproducible research and research integrity.
• Demonstrate increasing scientific independence by taking ownership of research projects and troubleshooting analytic challenges.
• With mentorship, develop an independent line of research and pursue opportunities for career-development and independent research funding.

Requirements & Tech Stack

• Doctorate degree in a relevant field required.
• Doctorate degree in Epidemiology, Biostatistics, Public Health, Population Health, or a closely related quantitative field required.
• SAS or comparable statistical programming software proficiency, with the ability and willingness to work extensively in SAS.
• Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
• Teamwork: Ability to work collaboratively with others and contribute to a team environment.
• Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
• Communication: Strong and clear written and verbal communication skills.
• Strong training in epidemiologic methods and statistical analysis of observational data.
• Demonstrated experience managing and analyzing large epidemiologic datasets.
• Experience with multivariable regression and longitudinal and/or time-to-event methods.
• Experience with causal inference.
• Evidence of strong scientific writing ability, including experience preparing peer-reviewed manuscripts.
• Ability to independently develop and execute analyses while working effectively within multidisciplinary collaborative teams.
• Excellent organizational, written and verbal communication, and project-management skills.
• Strong attention to detail and commitment to reproducible, rigorous research.

Preferred Experience

• Research experience in cardiovascular disease, cardiometabolic disease, hypertension, diabetes, cognitive aging/dementia, or health disparities.
• Experience working with large prospective cohort studies or nationally representative survey data.
• Experience accounting for complex sampling designs and survey weights; experience with SUDAAN is desirable but not required.
• Experience with cardiovascular risk prediction, survival analysis, repeated-measures/longitudinal analyses, or related advanced epidemiologic methods.
• Record of first-author peer-reviewed publications.
• Experience contributing to NIH or other extramural grant applications.
• Interest in developing an independent research program and pursuing career-development or independent research funding.
• Ability to effectively visualize data and present findings to diverse audiences.