Data Scientist

About The Company

Harnham is a leading global recruitment and consulting firm specializing in data, analytics, and digital transformation. With a strong reputation for connecting top-tier talent with innovative organizations, Harnham serves clients across various industries including healthcare, finance, marketing, and technology. Our commitment to excellence, integrity, and personalized service has established us as a trusted partner in talent acquisition and workforce solutions. We pride ourselves on fostering a dynamic and inclusive environment that encourages professional growth, collaboration, and continuous learning. At Harnham, we are dedicated to helping both clients and candidates achieve their strategic goals through tailored staffing solutions and expert guidance.

About The Role

We are seeking a highly skilled Clinical Data Scientist to join our client's dynamic team in a hybrid or fully remote capacity. This role is pivotal in supporting the final stages of the clinical data pipeline, transforming complex raw datasets into analysis-ready formats that meet regulatory standards. The ideal candidate will possess a meticulous eye for detail, be technically versatile, and have a passion for delivering high-quality clinical data. You will collaborate closely with cross-functional teams, including Clinical Operations, Data Platform Engineering, and AI/ML specialists, to ensure data accuracy, traceability, and compliance across all outputs. This position offers an excellent opportunity to contribute to impactful healthcare research and innovation, working within a forward-thinking organization committed to advancing clinical science and patient outcomes.

Qualifications

Educational background should include a BSc or MSc in Statistics, Mathematics, Computer Science, Life Sciences, or a related discipline. Candidates should have between 2 to 5+ years of experience in clinical data science, statistical programming, or clinical data management within pharmaceutical, biotech, or related environments. Technical proficiency in SAS, R, Python, and SQL is essential, with familiarity with version control systems like Git preferred. Experience working with CDISC SDTM and ADaM standards is highly desirable, along with an understanding of oncology endpoints such as RECIST and survival analysis. Knowledge of real-world data (RWD) and NLP-derived outputs is a plus. The successful candidate will demonstrate strong analytical skills, exceptional attention to detail, and the ability to communicate complex concepts clearly and effectively.

Responsibilities

Data Transformation & Delivery: Convert raw, manually abstracted, and AI-processed clinical data into standardized formats such as CDISC SDTM/ADaM or client-specific models. Build analysis-ready datasets from diverse sources including electronic medical records, electronic data capture systems, and internal abstraction tools.

Statistical Programming & Reporting: Develop and generate tables, listings, and figures for clinical study reports and interim analyses using SAS, R, or Python. Ensure outputs are accurate, reproducible, and compliant with regulatory standards.

Data Integrity & Quality Control: Perform comprehensive data cleaning, validation, and discrepancy investigations to distinguish between genuine clinical complexities and upstream data errors. Maintain high standards of data quality throughout the process.

Cross-Team Collaboration: Partner with engineering and data platform teams to automate workflows for data cleaning and validation. Act as an internal customer and early tester for new data infrastructure tools, providing feedback to improve system capabilities.

Documentation: Create and maintain detailed documentation including data specifications, derivation logic, reviewer guides, and Define.xml files to support audits and regulatory submissions.

Ad Hoc & Exploratory Analysis: Assist internal and external stakeholders with data queries, exploratory analyses, and insights that demonstrate the value and capabilities of the data platform.

Ethical & Compliant Data Management: Adhere to all applicable privacy, security, and compliance regulations such as HIPAA. Promote ethical handling of sensitive clinical data, ensuring confidentiality and integrity at all times.

Benefits

Our client offers a competitive salary package commensurate with experience and qualifications. Employees are eligible for equity participation, annual performance bonuses, and comprehensive benefits including health insurance, retirement plans, and paid time off. The organization fosters a collaborative and inclusive work environment that encourages professional development through ongoing training and learning opportunities. Flexible work arrangements, including hybrid and remote options, are available to support work-life balance. Additionally, employees have access to cutting-edge tools and technologies, enabling them to stay at the forefront of clinical data science and healthcare innovation.

Equal Opportunity

Our client is an equal opportunity employer committed to fostering an inclusive environment for all employees. We value diversity and are dedicated to providing equal employment opportunities regardless of race, gender, age, sexual orientation, religion, disability, or any other protected characteristic. We believe that a diverse workforce enhances our ability to innovate and serve our clients effectively. All qualified candidates are encouraged to apply and will be considered based on their skills, experience, and qualifications without bias or discrimination.