About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — improving the science that drives real medical breakthroughs?
We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data is accurate, traceable, compliant, and ready to power scientific discovery, regulatory filings, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals who want meaningful, high-impact work on their own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for scientific analysis and regulatory submissions
- Define and enforce data policies for classification, access, security, and metadata across research, clinical, regulatory, and partner teams
- Enable secure, governed access to data for analytics, innovation, and external collaborations while protecting confidential and patient-related information
- Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and governance frameworks
- Support data readiness for AI model training and evaluation in life sciences contexts
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or similarly regulated data environments
- Strong understanding of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- Skilled at bridging the gap between scientific, technical, and compliance teams — translating complex requirements into clear, actionable standards
- Naturally detail-oriented with a structured, methodical approach to data quality and policy enforcement
- Self-motivated and effective working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with regulatory frameworks such as FDA, GxP, HIPAA, or ICH guidelines
- Background in clinical data management, biomedical informatics, or health data architecture
- Experience working with external research partners or cross-functional global teams
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-stakes work
- Gain direct exposure to how high-quality governed data enables better AI and better science
- Contribute to initiatives that sit at the intersection of life sciences and next-generation AI
- Potential for ongoing work and contract extension as new projects launch