Sr. Clinical Data Scientist

Stratacuity: Proven Scientific Placement; Waltham (MA); On-site; USD 110,000 - 170,000; Full time

Job summary

Stratacuity: Proven Scientific Placement seeks a highly analytical scientist to support clinical-stage programs by integrating complex patient-level datasets, generating clinical insights, and shaping data narratives that drive development decisions.

The role collaborates with Clinical Development, Biomarkers, Medical Affairs, and Leadership to transform evolving trial data into clear analyses and impactful visualizations for internal and external audiences.

Qualifications

• Advanced degree in a quantitative or life sciences field (MS/PhD/PharmD or equivalent).
• Experience supporting clinical-stage biotechnology, pharmaceutical, or translational programs.
• Strong programming and data visualization skills (R, Python, SAS, or similar).
• Experience working with clinical trial, biomarker, PK, and safety datasets.
• Ability to synthesize data into clear scientific insights and visuals.

Responsibilities

• Integrate and analyze clinical, biomarker, PK, efficacy, and safety datasets across ongoing studies.
• Build and maintain reproducible analysis and visualization workflows for patient-level data.
• Create subject-level summaries linking exposure, outcomes, biomarkers, and adverse events.
• Support clinical data reviews and collaborate with medical teams on findings.
• Maintain external benchmarks and natural-history datasets to inform interpretation.
• Conduct literature reviews and competitive landscape analyses to support strategy.
• Help develop data-driven claims and responses to scientific or investor questions.
• Prepare figures, tables, listings, and recurring study deliverables.

Skills

Clinical data analysis

Data visualization

Cross-functional collaboration

Scientific storytelling

Education

MS/PhD/PharmD in quantitative or life sciences

Tools

R

Python

SAS

Job description

We're seeking a highly analytical scientist to support clinical-stage programs by integrating complex patient-level datasets, generating clinical insights, and helping shape the data narratives that drive development decisions.

This individual will work cross-functionally with Clinical Development, Biomarkers, Medical Affairs, and Leadership teams to transform evolving clinical trial data into clear, reproducible analyses and impactful visualizations.

What You'll Do

• Integrate and analyze clinical, biomarker, PK, efficacy, and safety datasets across ongoing studies
• Build and maintain reproducible analysis and visualization workflows, including patient-level and longitudinal data displays
• Create subject-level summaries that connect treatment exposure, outcomes, biomarkers, concomitant therapies, and adverse events
• Support clinical data review activities and collaborate with medical teams to investigate emerging findings
• Maintain external benchmark and natural-history datasets to inform interpretation of study results
• Conduct literature reviews and competitive landscape analyses to support program strategy
• Help develop data-driven claims, evidence summaries, and responses to anticipated scientific, investor, or partner questions
• Prepare figures, tables, listings, and other recurring study deliverables for internal and external audiences

What We're Looking For

• Advanced degree (MS, PhD, PharmD, or equivalent) in a quantitative or life sciences discipline
• Experience supporting clinical-stage biotechnology, pharmaceutical, or translational medicine programs
• Strong programming and data visualization skills (R, Python, SAS, or similar)
• Experience working with clinical trial, biomarker, PK, and safety datasets
• Ability to synthesize large amounts of data into clear scientific insights and compelling visual narratives
• Excellent communication skills and comfort collaborating across multidisciplinary teams

Preferred Experience

• Neurodegenerative disease, neuromuscular disease, oncology, or biomarker-focused clinical development experience
• Experience supporting regulatory, investor, partnering, or board-level data presentations
• Familiarity with natural history analyses, external comparators, and longitudinal clinical datasets

If you're excited about turning complex clinical data into meaningful insights that influence development strategy and patient outcomes, we'd love to hear from you.