Clinical Data Scientist

Position Summary:

The Principal/Senior Clinical Scientist is responsible for leading the clinical science function across assigned Oncology, Rare Diseases, and/or Autoimmune clinical development programs, from study start-up through database lock, in alignment with project scope, timelines, and quality expectations. Applicants must have Oncology experience (see Minimum Required Qualifications).

In this role, you will provide scientific and indication-specific expertise to support the collection, review, and interpretation of clinical trial data. Working as a key member of Precision for Medicine's cross-functional data review team, you will apply clinical knowledge and scientific insight to identify, evaluate, and resolve data issues, manually (not just programmed exclusion listings outputs) while also leveraging data review tools and platforms, ensuring clinically accurate and high-quality data while protecting participant safety.

As a subject matter expert, you will leverage current clinical practice guidelines, standards of care, and disease-area expertise to support complex, scientific and clinical data review and data cleaning activities. You will play an active role in supporting study deliverables and collaborating with internal and external study team members to ensure successful study execution within scope, budget, and timelines.

Key Responsibilities:

• Serve as a functional team lead, implementing Clinical Science services per study scope of work on assigned projects from study start through database lock ensuring delivery of high-quality outcomes within agreed timelines and budgets.
• Perform holistic individual participant data review, and aggregate participant data review, utilizing a combination of Precision’s proprietary and non-proprietary data review tools and platforms, while applying clinical and scientific judgment based on therapeutic area and indication specific expertise to support data capture, data review and interpretation, query management, and clinically relevant data cleaning activities.
• Serve as the scientific and clinical data subject matter expert for study teams, guiding eCRF design, data capture requirements, edit checks, completion guidelines, EDC UAT, and ongoing clinical data review and cleaning to ensure protocol-compliant, high-quality data as studies progress.
• Support Risk Based Quality Management (RBQM), identifying and addressing study risks, trends and issues, while partnering with cross-functional teams participating in the risk review processes and meetings.
• Collaborate with Medical Monitoring including oversight of Medical Monitor review of participant data and data review findings.