Clinical Data Scientist
Company: Harnham
Location: Sacramento
Posted on: March 27, 2026
|
|
|
Job Description:
Job Description Clinical Data Scientist – Hybrid or Remote
Overview A growing organization in the healthcare and life sciences
technology space is seeking a Clinical Data Scientist to support
the final stages of its clinical data pipeline. This role focuses
on transforming complex clinical datasets into clean, standardized,
analysis?ready deliverables for use in clinical research and
regulatory submissions. The ideal candidate is detail?oriented,
technically versatile, and passionate about delivering high?quality
clinical data. You will work closely with cross?functional
teams—including Clinical Operations, Data Platform Engineering, and
AI/ML teams—to ensure accuracy, traceability, and compliance across
all data outputs. This role may be hybrid or fully remote;
candidates in the SF Bay Area are preferred but not required. Key
Responsibilities Data Transformation & Delivery Convert raw,
manually abstracted, and AI?processed clinical data into
standardized formats (e.g., CDISC SDTM/ADaM) or client?specific
data models. Build analysis?ready datasets from diverse sources
including EMRs, EDC systems, and internal abstraction tools.
Statistical Programming & Reporting Develop and generate Tables,
Listings, and Figures (TLFs) for clinical study reports and interim
analyses using SAS, R, or Python. Data Integrity & Quality Control
Perform comprehensive data cleaning and validation checks.
Investigate discrepancies to distinguish between true clinical
complexity and upstream data errors. Cross?Team Collaboration
Partner with engineering teams to automate data cleaning and
validation workflows. Serve as an early tester and internal
customer for new data infrastructure tools. Documentation Create
and maintain clear documentation including data specifications,
derivation logic, reviewers’ guides, and Define.xml to support
audits and regulatory submissions. Ad?Hoc & Exploratory Analysis
Support internal and external stakeholders with data queries,
one?off analyses, and insights that demonstrate the value of the
platform. Ethical & Compliant Data Management Follow all applicable
privacy, security, and compliance requirements (e.g., HIPAA).
Promote ethical handling of sensitive clinical data. Qualifications
Education BSc or MSc in Statistics, Mathematics, Computer Science,
Life Sciences, or a related field. Experience 2–5 years in clinical
data science, statistical programming, or clinical data management
within Pharma, Biotech, or related environment. Technical Skills
Strong proficiency in SAS, R, Python, and SQL. Familiarity with
version control (Git) preferred. Experience with CDISC SDTM/ADaM
standards. Understanding of oncology endpoints (e.g., RECIST,
survival analysis) and real?world data (RWD) is a plus. Core
Competencies Demonstrated expertise in cleaning and stitching
complex datasets. Ability to work with unstructured text or
NLP?derived outputs is highly desirable. Exceptional attention to
detail and accuracy. Strong written and verbal communication
skills. Self?directed, curious, humble, and collaborative.
Additional Information Travel: Up to 5% Compensation: Competitive
salary range based on experience, qualifications, and location.
Eligible for equity, annual performance bonus, and comprehensive
benefits.
Keywords: Harnham, Pleasanton , Clinical Data Scientist, IT / Software / Systems , Sacramento, California
