Data Scientist

Employment in this role may be contingent upon extramural funding and successful performance and may be terminated or reduced in percentage of appointment if such funding is not secured or ceases to be available.

Morehouse School of Medicine (MSM) is a place of distinction, serving as the nation’s leading academic medical center for vulnerable populations. It’s also a place for passionate individuals looking to join a dedicated community working today to help prepare tomorrow’s leaders.

We exist to:

• Improve the health and well-being of individuals and communities;
• Increase the diversity of the health professional and scientific workforce;
• Address primary health care through programs in education, research and service;
• With emphasis on people of color and the under-served urban and rural populations in Georgia, the nation and the world.

At Morehouse School of Medicine, we’re leading the creation and advancement of health equity. You will find a fulfilling career at MSM !

Posting Number NONAC
3816

Job Title Data Scientist

Position Title Data Scientist

Position Type Non-Faculty

Number of vacancies 1

Department Morehouse Medicine

The Department of Medicine’s Center of Excellence on Digital Health Innovation conducts and supports quantitative and computational research across biomedical, clinical, and population health. This work provides the scientific and methodological foundation for the responsible design, development, validation, and deployment of artificial intelligence and machine learning solutions, including clinical algorithms and medical diagnostic tools intended to improve clinical research, care delivery, and patient outcomes.

In this role, you will serve as a core technical and scientific individual contributor, supporting the Center’s research and translational mission. You will design and execute rigorous analyses; advise on study design, data strategy, and analytical methods; assess data quality, representativeness, and limitations; and communicate findings in formats suitable for scholarly publications, grant applications, presentations, and translational decision-making.

The position requires strong scientific judgment, methodological rigor, and responsible stewardship of complex health data. You will work closely with investigators, clinicians, biostatisticians, epidemiologists, informaticians, engineers, and other collaborators to ensure that analytical approaches and AI-enabled solutions are scientifically valid, clinically relevant, and appropriate for their intended use.

• Lead or substantially contribute to the design and execution of quantitative analyses for biomedical and clinical research projects.
• Partner with investigators, clinicians, biostatisticians, epidemiologists, informaticians, and engineers to define scientific questions, analytic strategies, and study designs.
• Evaluate the suitability, completeness, structure, and limitations of data sources prior to analysis.
• Prepare, clean, harmonize, and integrate structured and unstructured data from diverse biomedical and health system sources.
• Develop, implement, and validate statistical, predictive, and machine learning methods appropriate to the scientific question.
• Select analytical approaches that appropriately distinguish prediction, association, and causal inference.
• Evaluate model performance, calibration, robustness, generalizability, and clinical or scientific utility.
• Identify and mitigate bias, confounding, missing data, measurement error, and data leakage.
• Interpret results in context and communicate assumptions, uncertainty,…