Senior Data Scientist Clinical Data

Skills

About the Role

You will structure clinical datasets for a multimodal data program. You will work with external partners to understand and harmonize data, map data to biomedical ontologies, design dictionaries and schemas, enforce data quality, and write Python pipelines for cleaning and validation.

Requirements

• Bachelor’s or Master’s degree in a quantitative or life sciences field, or equivalent practical industry experience
• 3–5+ years of hands-on clinical data management or clinical data engineering experience in a CRO, CMO, pharma, or biotech environment
• High proficiency in Python, Pandas, and NumPy
• Experience with Git version control and reusable data pipelines
• Familiarity with clinical data structures, EHRs, CRFs, and longitudinal clinical trial data
• Knowledge of clinical and biological ontologies for oncology or immunology datasets
• Ability to align data delivery formats with partner clinical teams
• Comfort working in a fast-paced startup environment

Responsibilities

• Participate in technical discussions with hospitals, research institutions, CROs, and CMOs
• Translate ambiguous source data into harmonized AI-ready assets
• Map clinical data to standard biomedical ontologies
• Design and maintain data dictionaries, schemas, and metadata models
• Establish, automate, and enforce data quality-control and validation frameworks
• Write production-grade Python code for data cleaning and harmonization
• Audit data for missing variables, anomalies, and hidden biases
• Align data delivery formats with partner clinical teams

Benefits

• Equity
• Remote work options

Hiring Process

Introductory call with Hiring Manager (30 min) → Data Strategy Panel Presentation (45 min) → Technical Deep Dive (30 min) → Executive Interview (30 min) → Reference check → Offer → Onboarding