Senior Clinical Data Analyst

A venture-backed startup developing a novel wearable medical device is hiring a Clinical Data Analyst. The company is running multiple clinical trials leading toward a pivotal FDA submission.

This role owns clinical trial monitoring, analysis and reporting, and reports to the Director of Data Science. You'll ramp up alongside a senior data scientist to take over the existing clinical reporting pipelines and dashboards (SQL, Python, Type Script, Terraform), then own their further development. As the company approaches commercial scale, the role will expand into manufacturing, quality and business analytics.

• Monitor clinical trial data across active studies every day, including the trials supporting the pivotal FDA submission
• Own and extend the clinical monitoring dashboard, covering clinical outcomes, device performance, safety signals and data completeness
• Build monitoring tools for different user groups: internal clinical and regulatory teams, CROs, and site PIs and coordinators
• Define data quality checks, and triage and elevate anomalies, missing data and out-of-range values
• Produce recurring and ad hoc analyses of clinical outcomes, device performance and safety summaries
• Write reports for clinical, regulatory and leadership audiences, and contribute to regulatory submissions and publications
• Support execution of statistical analysis plans and run HEOR analyses for payers
• Write and own the SQL that turns warehoused clinical data into analysis-ready datasets
• Manage a visible queue of analytics requests, set priorities and commit to delivery dates
• Document analytical methods, dataset definitions and reporting standards

• 5+ years in data analysis, clinical analytics or biostatistics support within medical devices, pharma or clinical research
• Working knowledge of clinical trial methodology: endpoints, protocol adherence, safety monitoring, database lock and GCP
• Hands-on experience with clinical trial datasets, including EDC outputs and device data
• Strong SQL skills, including joins, window functions and data modeling, plus Big Query or a comparable cloud data warehouse
• Proficiency in Python or R, with work that is clean and reproducible
• Experience building and maintaining dashboards that other people rely on
• Ownership of analytical work streams from start to finish while juggling competing deadlines
• Clear written and verbal communication with both technical and non-technical audiences
• Comfort working within regulated documentation and traceability requirements

• Experience with wearable or connected medical device data
• Contributions to FDA submissions or regulatory-facing clinical reports
• Familiarity with CDISC (SDTM/ADaM), HEOR modeling or EDC platforms such as Castor
• MS in biostatistics, epidemiology, biomedical engineering, data science or a related field

Candidates must be authorized to work in the U.S. without sponsorship and must live within commuting distance of San Diego.