Postdoctoral Research Fellow - Data Science
Core
Design, develop, and optimize clinical and skin imaging data management systems and workflows to transform complex research data into discoveries for melanoma and skin cancer research.
Role type
Postdoctoral Research Fellow (Data Science)
Builds
Research data pipelines, analytical codebases, and data-driven insights for medical imaging studies
Domain
Healthcare + Medical Imaging + Data Science
Deliverable
research
Required skills
advanced statistical modeling, machine learning, data engineering, data cleaning and preprocessing, 2D/3D medical imaging analysis, Python, R, SQL, database management, cloud/HPC environments, reproducible research practices
Preferred skills
experience with melanoma or skin cancer research, mentoring junior staff, stakeholder engagement across multidisciplinary teams
Technologies
Python, R, SQL, REDCap, cloud platforms, high-performance computing
Responsibilities
Design and optimize clinical data management systems; process, clean, integrate, and validate large-scale longitudinal clinical and imaging datasets; develop and deploy statistical and ML models; mentor junior staff in data management and analytical best practices
Seniority
Postdoctoral (early-career researcher)