Clinical Data Scientist

Position Summary The Clinical Data Scientist will support clinical development programs through data-driven insights, analysis, and high-impact visual communication. This role is responsible for parsing and interpreting clinical trial data, generating figures and presentations, and supporting data review activities to inform study execution and development strategy.

The individual will work closely with Biostatistics, Data Management, and Clinical Operations to ensure data quality, consistency, and usability. Success in this role requires strong programming and data visualization skills, along with the ability to translate complex clinical data into clear, actionable insights for both internal and external stakeholders.

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 for analysis and presentation purposes.

Act as a liaison between Biostatistics/Stat Programming, Data Management and Clinical Operations. Experience working with EDC data, Lab imaging data and external vendor data.

Collaborate with Biostatistics, Data Management, and Clinical Operations to 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, including protocols, statistical analysis plan (SAP) support materials, clinical study reports (CSRs), and interim analyses.

Interpret emerging study data and communicate findings in a concise, structured, and clinically relevant manner.

Maintain proficiency in programming, reporting, and visualization tools to support evolving data needs.

Identify trends, anomalies, and data quality issues, and proactively escalate findings to relevant stakeholders.

Advanced degree preferred in life sciences, quantitative sciences, or a related field.

Minimum of 5 years of experience in clinical development, clinical data analysis, programming, DSMB or DMC support or related analytics roles.

Proficiency in programming languages such as SAS, R, Python, SQL, or similar tools.

Demonstrated ability to generate high-quality visualizations, tables, and presentations from clinical datasets.

Experience with Data Visualization tools (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, with the ability to convey complex data clearly.

Expertise in Neuroscience and Ophthalmology is a plus.

Working Conditions This position operates in an office setting, in person. Job may additionally require incumbent to be available outside of these hours to handle priority business needs.

Ocugen is an equal opportunity employer. In order to provide equal employment and advancement opportunities to all individuals, we make all of our employment decisions based upon merit, qualifications, abilities, and an individual’s conduct and performance. We will not make any of our decisions, and will not discriminate against any employee or applicant, on the basis of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy), gender (including sexual orientation, gender identity and status as a transgender or transsexual individual), age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, or any other characteristic protected from discrimination under the law.

Ocugen complies with applicable federal, state and local laws governing nondiscrimination in employment.
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