Post Doctoral Fellow
HybridAtlanta, Georgia, United States
Job Summary
Design and conduct observational, experimental, and translational research on diabetes, cardiometabolic conditions, and cognitive aging using population-based cohorts, electronic health records, and large survey datasets. Develop statistical analysis plans, harmonize data across studies, and apply epidemiologic, statistical, and computational methods including AI/ML and deep learning to longitudinal and high-dimensional data. Write grants, design studies, prepare and publish scientific manuscripts, and mentor junior researchers under the direction of a Principal Investigator. Collaborate with national and international teams on clinical trials and implementation science projects while receiving advanced training to enhance research independence.
Required Qualifications
- A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field
- Excellent scientific writing ability
- Strong oral communication skills
- The ability to work effectively and collegially with colleagues
- Residency in the state of GA
- Must be able to commute to Emory University on a flexible weekly schedule based upon business needs
Desired Qualifications
- An MD and/or PhD in epidemiology, biostatistics, nutrition, behavioral sciences, demography, computer science, data science, biomedical informatics, medicine, or a related field
- Strong scientific writing skills
- Quantitative skills
- Statistical skills
- Programming skills
- Experience analyzing complex longitudinal data, particularly electronic health records, cohort studies, and large survey datasets
- Experience developing peer-reviewed manuscripts
- Substantive knowledge of diabetes, obesity, CVD, cognitive aging, brain health, or social determinants of health
- Experience or strong interest in AI/ML, digital health technologies, wearable devices, continuous glucose monitoring (CGM), or other computational methods
- Expertise in—or enthusiasm for learning and engaging in—clinical trials, pragmatic trials, and implementation science
- The ability to work independently and collaboratively
- Strong organizational skills
- Excellent written and verbal communication skills in English
- Enthusiasm for interdisciplinary research spanning epidemiology, medicine, neuroscience, computer science, engineering, and data science
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