Senior Clinical Data Analyst: Real-Time Monitoring

Luna Diabetes; San Diego (CA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Health benefits

No-jerk policy

Job summary

Luna Health is seeking a Senior Data Analyst to own clinical trial monitoring, analysis, and reporting. You’ll work closely with the Director of Data Science to oversee real-time data quality, analyses, and regulatory-ready reports in a regulated, fast-growing startup.

Responsibilities span analysis, dashboarding, and data delivery across trials, HEOR, and device data. The role evolves toward broader manufacturing and business analytics as we scale, with an onsite/hybrid setup in San Diego.

Qualifications

• 5+ years in data analysis, clinical analytics, biostatistics support, or a closely related role in medical devices, pharma, or clinical research
• Solid working knowledge of clinical trial methodology. endpoint definitions, protocol adherence, safety monitoring, database lock, and Good Clinical Practice expectations
• Demonstrated experience with clinical trial datasets, including EDC outputs and device data
• Strong SQL, including joins, aggregations, window functions, and data modeling concepts; hands-on experience with BigQuery or a comparable cloud warehouse
• Working proficiency in Python (or R) for analysis, visualization, and reporting. Work is clean, reproducible, and can be read and rerun by someone else
• Experience building and maintaining dashboards that other people depend on, and the judgment to decide what belongs on them. Current dashboards use a custom stack: python, SQL, TypeScript, and Terraform.
• A track record of owning analytical workstreams end to end under competing deadlines, including the willingness to sequence work and negotiate scope with stakeholders
• Ability to communicate analytical findings clearly, in writing and in presentation, to technical and non-technical audiences
• Attention to detail, a strong instinct for data quality, and the initiative to trace things that don't look right
• Comfort in a regulated environment, with rigid documentation and traceability requirements

Responsibilities

• Produce recurring and ad hoc analyses of trial data, including glycemic outcomes, device performance, safety summaries
• Write clear, accurate reports for clinical, regulatory, and leadership audiences, and contribute analytical content to regulatory submissions and publications. Support statistical analysis plan execution.
• Execute health economic outcomes research (HEOR) analyses demonstrating device value to payers
• Own and extend the clinical monitoring dashboard, including glycemic outcomes, device performance, safety signals, and data completeness. This is a custom tool built using python, SQL, TypeScript, and Terraform.
• Develop clinical monitoring tools for different user tiers, for example internal clinical/regulatory, external CRO, and external trial Site PIs or coordinators
• Own day-to-day monitoring of clinical trial data across active studies, including the trials leading to our pivotal FDA submission
• Define the checks that catch problems early. Identify, triage, and expand anomalies, missing data, and out-of-range values with the clinical, regulatory, and engineering teams

Skills

SQL

Python

BigQuery

Data visualization

Clinical data analysis

Regulatory reporting

Dashboard development

Tools

Castor CDMS

Terraform

TypeScript

Job description

Luna Health is seeking a Senior Data Analyst to own clinical trial monitoring, analysis, and reporting. You’ll work closely with the Director of Data Science to oversee real-time data quality, analyses, and regulatory-ready reports in a regulated, fast-growing startup.

Responsibilities span analysis, dashboarding, and data delivery across trials, HEOR, and device data. The role evolves toward broader manufacturing and business analytics as we scale, with an onsite/hybrid setup in San Diego.