Clinical Data Scientist

About The Company

Harnham is a leading global recruitment firm specializing in data, analytics, and digital transformation talent acquisition. With a strong presence across multiple industries including healthcare, finance, and technology, Harnham is committed to connecting organizations with top-tier professionals who drive innovation and growth. Known for its deep industry expertise and personalized approach, Harnham prides itself on fostering long-term partnerships that help clients achieve their strategic objectives. The company's mission is to empower businesses through talent excellence, ensuring they stay ahead in a rapidly evolving digital landscape.

About The Role

The Clinical Data Scientist position at Harnham offers an exciting opportunity to join a dynamic organization dedicated to advancing healthcare and life sciences technology. This hybrid or remote role is pivotal in supporting the final stages of clinical data processing, transforming complex raw datasets into analysis-ready formats essential for clinical research and regulatory submissions. The ideal candidate will possess a keen eye for detail, technical versatility, and a passion for ensuring data integrity and compliance. Collaborating closely with cross-functional teams—including Clinical Operations, Data Platform Engineering, and AI/ML teams—the Clinical Data Scientist will play a crucial role in maintaining data quality, traceability, and regulatory adherence. This position is ideal for professionals based in the SF Bay Area or those seeking a flexible remote work environment.

Qualifications

The successful candidate will possess a strong educational background with a BSc or MSc in Statistics, Mathematics, Computer Science, Life Sciences, or a related field. They should have between two to five or more years of relevant experience in clinical data science, statistical programming, or clinical data management within the pharmaceutical, biotech, or healthcare sectors. Technical proficiency in SAS, R, Python, and SQL is essential, along with familiarity with version control systems such as Git. Experience working with CDISC SDTM/ADaM standards and understanding oncology endpoints (e.g., RECIST, survival analysis) or real-world data (RWD) is highly desirable. The candidate should demonstrate exceptional attention to detail, strong communication skills, and the ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

Data Transformation & Delivery: The Clinical Data Scientist will convert raw, manually abstracted, and AI-processed clinical data into standardized formats such as CDISC SDTM/ADaM or client-specific data models. They will build analysis-ready datasets from diverse sources, including electronic medical records (EMRs), electronic data capture (EDC) systems, and internal abstraction tools.

Statistical Programming & Reporting: Developing and generating Tables, Listings, and Figures (TLFs) for clinical study reports and interim analyses using SAS, R, or Python will be a core responsibility. This includes ensuring accuracy, consistency, and regulatory compliance of all outputs.

Data Integrity & Quality Control: The role involves performing comprehensive data cleaning, validation, and discrepancy investigations to distinguish between true clinical complexities and upstream data errors. Maintaining high data quality standards is critical.

Cross Team Collaboration: The Clinical Data Scientist will partner with engineering teams to automate data workflows, enhance validation processes, and serve as an internal customer for new data infrastructure tools. Effective communication and teamwork are vital for success.

Documentation: Creating and maintaining detailed documentation such as data specifications, derivation logic, review guides, and Define.xml files to support audits, regulatory submissions, and internal reviews.

Ad Hoc & Exploratory Analysis: Supporting internal and external stakeholders with data queries, exploratory analyses, and insights that demonstrate the platform's value and facilitate decision-making.

Ethical & Compliant Data Management: Ensuring all data handling complies with privacy, security, and regulatory standards such as HIPAA. Promoting ethical practices in managing sensitive clinical data is essential.

Benefits

Harnham offers a competitive salary package commensurate with experience and qualifications. Employees are eligible for equity options, annual performance bonuses, and comprehensive benefits including health insurance, retirement plans, and paid time off. The organization emphasizes professional development, providing opportunities for continuous learning and career growth. Additionally, flexible work arrangements, including hybrid or fully remote options, promote work-life balance. The company fosters an inclusive and collaborative environment where innovation and diversity are valued, ensuring employees feel supported and empowered to excel in their roles.

Equal Opportunity

Harnham is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to creating a workplace free from discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or any other protected status. We believe that diverse perspectives and backgrounds strengthen our team and drive our success.