Clinical Data Scientist
Ocugen
August 17, 2026
On-site
Malvern, PA
Clinical Research and Development
Responsibilities:
- Parse, review, and structure clinical trial data to support study interpretation, decision-making, and leadership updates.
- Develop high-quality graphs, tables, and figures using programming and analytics tools.
- Liaise between Biostatistics/Stat Programming, Data Management, and Clinical Operations; experience with EDC data, lab imaging data, and external vendor data.
- Support data cleaning, reconciliation, and study tracking.
- Perform ongoing data review to assess safety, efficacy, and operational metrics.
- Create clear, visually compelling slide decks and materials for senior leadership, study teams, investigators, and governance forums.
- Contribute to clinical study documentation (protocols, SAP support materials, CSRs, interim analyses).
- Interpret emerging study data and communicate findings concisely and clinically.
- Maintain proficiency in programming, reporting, and visualization tools.
- Identify trends, anomalies, and data quality issues; proactively escalate findings.
Qualifications:
- Advanced degree preferred in life sciences or quantitative sciences.
- Minimum 5 years in clinical development, clinical data analysis/programming, DSMB/DMC support, or related analytics roles.
- Proficiency in SAS, R, Python, SQL, or similar tools.
- Demonstrated ability to produce high-quality visualizations, tables, and presentations from clinical datasets.
- Data visualization tools experience (R-Shiny, Power BI, Tableau, or AI-based tools) is a plus.
- Working knowledge of clinical trial design/operations, GCP, and clinical data structures.
- Strong analytical thinking, attention to detail, and communication skills.
- Neuroscience and ophthalmology expertise is a plus.
- Parse, review, and structure clinical trial data to support study interpretation, decision-making, and leadership updates.
- Develop high-quality graphs, tables, and figures using programming and analytics tools.
- Liaise between Biostatistics/Stat Programming, Data Management, and Clinical Operations; experience with EDC data, lab imaging data, and external vendor data.
- Support data cleaning, reconciliation, and study tracking.
- Perform ongoing data review to assess safety, efficacy, and operational metrics.
- Create clear, visually compelling slide decks and materials for senior leadership, study teams, investigators, and governance forums.
- Contribute to clinical study documentation (protocols, SAP support materials, CSRs, interim analyses).
- Interpret emerging study data and communicate findings concisely and clinically.
- Maintain proficiency in programming, reporting, and visualization tools.
- Identify trends, anomalies, and data quality issues; proactively escalate findings.
Qualifications:
- Advanced degree preferred in life sciences or quantitative sciences.
- Minimum 5 years in clinical development, clinical data analysis/programming, DSMB/DMC support, or related analytics roles.
- Proficiency in SAS, R, Python, SQL, or similar tools.
- Demonstrated ability to produce high-quality visualizations, tables, and presentations from clinical datasets.
- Data visualization tools experience (R-Shiny, Power BI, Tableau, or AI-based tools) is a plus.
- Working knowledge of clinical trial design/operations, GCP, and clinical data structures.
- Strong analytical thinking, attention to detail, and communication skills.
- Neuroscience and ophthalmology expertise is a plus.