Bridge the gap between unstructured, real-world data, and frontier AI models
Structure clinical datasets and write reproducible code
Establish, automate, and enforce data quality control (QC) and validation frameworks
Participate in technical conversations with external partners
Design, build, and maintain data dictionaries, schemas, and metadata models

Bachelor’s or Master’s degree in Life Sciences, Bioinformatics, Health Informatics, Computer Science, Statistics, or a related quantitative field
3–5+ years of hands-on experience in clinical data management or clinical data engineering
High proficiency in Python and standard data science libraries (e.g., Pandas, NumPy)
Familiarity with clinical data structures, electronic health records (EHR)
Knowledge of standard clinical and biological ontologies, specifically those tailored to cancer/oncology and/or immunology datasets
Ability to align on data delivery formats with partner clinical teams
Comfort working in a fast-paced startup environment

Senior Clinical Data Manager

Key skills