Clinical Data Scientist

netrolynx ai • United State
Remote
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AI Summary

Clinical Data Scientist role at Harnham involves converting raw clinical data into standardized formats, developing analysis-ready datasets, and maintaining data integrity. The role requires strong technical skills, attention to detail, and collaboration with multidisciplinary teams. Ideal candidate has a background in statistics, mathematics, or life sciences with 2-5 years of experience in clinical data science.

Key Highlights
Converting raw clinical data into standardized formats
Developing analysis-ready datasets
Maintaining data integrity
Key Responsibilities
Converting raw clinical data into standardized formats
Developing analysis-ready datasets
Maintaining data integrity
Partnering with engineering teams to automate workflows
Supporting ad hoc analyses and exploratory data queries
Technical Skills Required
SAS R Python SQL CDISC SDTM/ADaM standards Git
Benefits & Perks
Competitive salary package
Equity participation
Annual performance bonuses
Comprehensive benefits package
Flexible work arrangements
Nice to Have
Oncology endpoints
RECIST criteria
Survival analysis
Real-world data (RWD)

Job Description


About The Company

Harnham is a leading global recruitment firm specializing in data, analytics, and digital transformation roles across various industries, including healthcare, finance, marketing, and technology. With a strong reputation for connecting top-tier talent with innovative organizations, Harnham is committed to fostering growth and excellence within the data-driven economy. Our dedicated team of industry experts works closely with clients and candidates to understand their unique needs, ensuring a perfect match that drives success and long-term value. We pride ourselves on our integrity, professionalism, and deep understanding of the evolving data landscape, making us a trusted partner for organizations seeking to harness the power of data and analytics.

About The Role

The Clinical Data Scientist position at Harnham offers an exciting opportunity for professionals passionate about advancing healthcare through data. This hybrid or remote role is integral to supporting the final stages of clinical data pipelines, transforming raw and complex clinical datasets into analysis-ready formats suitable for research and regulatory purposes. The successful candidate will collaborate with multidisciplinary teams—including Clinical Operations, Data Platform Engineering, and AI/ML groups—to ensure high-quality, compliant, and traceable data outputs. This role is ideal for individuals with a keen eye for detail, strong technical skills, and a desire to contribute meaningfully to healthcare innovation. While candidates based in the San Francisco Bay Area are preferred, we welcome applicants from diverse locations seeking flexible work arrangements.

Qualifications

To be considered for this role, candidates should possess a Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Life Sciences, or a related field. A minimum of 2-5 years of experience in clinical data science, statistical programming, or clinical data management within pharmaceutical, biotech, or related environments is required. Technical proficiency in SAS, R, Python, and SQL is essential, along with familiarity with CDISC SDTM/ADaM standards. Experience with version control systems such as Git and knowledge of oncology endpoints, RECIST criteria, survival analysis, and real-world data (RWD) is highly advantageous. Candidates must demonstrate strong analytical skills, meticulous attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

In this role, the Clinical Data Scientist will be responsible for converting raw clinical data—whether manually abstracted, AI-processed, or extracted from electronic medical records—into standardized formats like SDTM or client-specific data models. Building analysis-ready datasets from diverse sources such as EDC systems and internal abstraction tools is a core duty, enabling accurate and efficient downstream analysis. The role also involves developing and generating Tables, Listings, and Figures (TLFs) for clinical study reports and interim analyses using SAS, R, or Python, ensuring statistical rigor and clarity.

Maintaining data integrity through comprehensive cleaning, validation, and discrepancy investigations is crucial to distinguish genuine clinical signals from upstream data errors. The candidate will partner with engineering teams to automate workflows, streamline data validation processes, and serve as an internal customer for new data infrastructure tools. Documentation of data specifications, derivation logic, reviewer guides, and regulatory deliverables like Define.xml is essential for audit readiness and compliance. Additionally, supporting ad hoc analyses and exploratory data queries helps demonstrate the value of the data platform to internal and external stakeholders. Ensuring all data handling complies with privacy, security, and regulatory standards such as HIPAA underscores the importance of ethical data management practices.

Benefits

Harnham offers a competitive salary package commensurate with experience and qualifications, along with opportunities for career growth and professional development. Employees are eligible for equity participation, annual performance bonuses, and a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and wellness programs. The organization fosters a collaborative, inclusive, and innovative work environment that values work-life balance and continuous learning. Flexibility in work arrangements, including hybrid or fully remote options, supports diverse lifestyles and geographic locations. Harnham is dedicated to investing in its employees’ success and providing a stimulating environment where talent can thrive.

Equal Opportunity

Harnham is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable law. We believe that diverse teams drive innovation and better serve our clients and communities. All qualified applicants will receive consideration for employment without regard to any protected characteristic. We are dedicated to fostering a workplace where everyone feels valued, respected, and empowered to contribute their best.


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