Sr. Data Scientist, Clinical Data Solutions | Onsite San Diego HQ
Core
Developing, deploying, and maintaining scalable data pipelines, analytical products, and automation solutions to enable clinical teams to design, run, monitor, and analyze clinical trials while optimizing for safety, efficacy, quality, and efficiency.
Role type
Senior IC data scientist (clinical data solutions)
Builds
Scalable data pipelines, analytical data products, dashboards, and AI-enabled clinical review/automation solutions
Domain
Biopharmaceuticals / Clinical Development / Regulated Healthcare
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Python, R, SQL, statistical analysis (hypothesis testing, regression, outlier detection), data modeling, cloud infrastructure, CI/CD, Git, Tableau/Power BI, CDISC standards, GCP guidelines, AI/ML, NLP, patient stratification, operational risk modeling
Preferred skills
Bio/pharma or CRO experience, GxP validation, Real World Data/EHR integration, wearable data sources, responsible AI practices
Technologies
Databricks, Snowflake, SAS, JMP, SPSS, Streamlit, Shiny, GitHub
Responsibilities
Collaborate with Clinical Development, Operations, and Biometrics to support trial design and execution; Develop and maintain data pipelines and dashboards for accessible, reliable clinical data; Identify and build operational metrics and risk indicators for early intervention; Translate complex clinical questions into technical solutions involving data ingestion, transformation, and modeling; Serve as a technical resource for statistical methods to distinguish meaningful signals from noise; Build and maintain production solution stacks using controlled environments and change control practices; Optimize cloud-based infrastructure for performance, security, and cost efficiency.
Seniority
Senior, hands-on IC
