Postdoctoral Research Fellow, Observational Health Data Science and Informatics

About the Opportunity Job Summary: The Observational Health Data Science and Informatics (OHDSI) Center housed within the Roux Institute at Northeastern University (NU) collaborates with the largest observational health research community in the world to improve health by generating evidence that promotes better clinical decisions and care. As part of a multi-institutional team, the OHDSI Center is participating in a project supporting the U.S. Food and Drug Administration’s Biologics Effectiveness and Safety (FDA BEST) program to conduct surveillance of the safety and effectiveness of biologic products such as vaccines, tissues, and advanced therapeutics. We are seeking a postdoctoral fellow to join our team and play a key role in developing and applying statistical methods to large-scale federated observational datasets such as electronic health records (EHRs) and administrative claims data. This research will enhance our ability to use real-world data (RWD) to characterize patient populations, construct population-level estimates relating exposures to health outcomes, and improve clinical decision making through better patient-level predictions. Fellows are expected to publish their work, present at top conferences and seminars, and regularly meet with the OHDSI Center research team. The fellow will also have opportunities to interact with key members of the FDA CBER Center and collaborate globally to generate evidence supporting health policies. Teaching and mentoring opportunities are available. The ideal candidate will have a strong statistical and computational background, experience processing and analyzing large datasets (preferably EHRs or medical billing and claims), and excellent communication skills. Responsibilities: The fellow will collaborate with our expanding OHDSI Center team to develop and test statistical methodologies related to the use of real-world data for better analysis of observational health studies. Expectations include publication and presentation of their work, participation in seminars, regular team meetings, mentoring of junior team members, and providing educational support across the Center. The ideal candidate will have a strong statistical and computational background, experience processing and analyzing large datasets, and exceptional communication skills. Qualifications: - Ph.D. or equivalent degree in Biostatistics, Data Science, Statistics, Epidemiology, Computer Science, or related fields - Research experience in observational health data theory/methods - Demonstrated experience working with large observational health databases and/or medical claims data - Advanced experience in statistical programming languages such as R or Python and familiarity with version control (e.g., Git/Github) - Excellent writing and communication skills Position Type: Research Additional Information: Northeastern University considers factors such as candidate work experience, education, and skills when extending an offer. Northeastern offers a comprehensive benefits package for benefit-eligible employees, which includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.