Principal Clinical Data Reviewer​/Scientist

What You’ll Do

• Lead clinical and scientific data review activities across assigned clinical studies to ensure data accuracy, consistency, and alignment with protocol expectations and therapeutic objectives.
• Identify insights, trends, and risks via comprehensive data analysis to enable early detection of data quality issues and safety signals.
• Design, test, and refine clinical data review tools (listings, reports, visualizations) for data exploration, signal detection, and discrepancy management.
• Collaborate with Clinical Development, Biostatistics, Pharmacovigilance, and Study Operations to drive data‑driven decision‑making and ensure high‑quality trial execution.
• Manage timelines and deliverables with a focus on quality, efficiency, and proactive communication.
• Support risk management by identifying, documenting, and mitigating study‑level data risks.
• Support strategic process innovation and continuous improvement within Data Management.
• Use metrics and analytics to monitor data trends, assess study health, and improve review strategies.

• 5+ years in Clinical Operations/Clinical Scientific role, or DM in industry/academia with strong scientific knowledge in at least one therapeutic area.
• Robust experience with Medidata Rave and data review tools (eClinical Elluminate, J‑Review, Business Objects).
• Strong analytical and communication skills; attention to detail; ability to manage competing priorities.
• Audit/inspection support experience; deep understanding of drug development and biopharmaceutical industry.
• Technical skills including Microsoft Excel; fluent English.
• Hands‑on review of eCRF data and external/integrated clinical datasets.
• Ability to identify trends, signals, outliers, and risk indicators using listings/visualizations/analytics.
• CDISC (SDTM, ADaM) and familiarity with clinical analytic/visualization tools.
• Knowledge of GCP and ICH E6(R2)/E6(R3) and data quality best practices.

• Bachelor’s in life/health sciences, pharmacy, nursing, data science or related; MS/PharmD/PhD strongly preferred.
• Experience implementing consistent data review processes; coordinate timelines/deliverables across studies.
• Ability to assess and mitigate vendor performance/quality issues.

• Medical, Dental, Vision, and Life insurance; fitness reimbursement; short‑ and long‑term disability; paid vacation and end‑of‑year shutdown; paid holidays and personal significance days; sick time; paid maternity/parental leave; 401(k) match; employee stock purchase plan; tuition reimbursement (up to $10,000/year).

Base compensation range: $–$