About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — at the frontier of life sciences and artificial intelligence?
We're looking for a Biotech Health Data Governance Lead to ensure that the research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready to support scientific discovery, regulatory filings, and advanced analytics.
This is a fully remote, flexible contract role built for experienced life sciences and biotech professionals who want meaningful, high-impact work on their own schedule.
- 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, AI model development, and external collaborations — while protecting confidential and patient-related information
- Identify and resolve data quality issues that could impact scientific validity, compliance, or AI training outcomes
- Collaborate across scientific, IT, compliance, and business teams to align data standards, workflows, and governance frameworks
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
- Deeply knowledgeable about data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- A skilled cross-functional collaborator — comfortable working alongside scientists, engineers, compliance officers, and business stakeholders
- Detail-oriented and systematic, with a strong instinct for data quality and traceability
- Self-directed and reliable when working independently in a remote, async environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA as they apply to research and clinical data
- Experience with data cataloging, metadata management, or master data management tools
- Background in clinical data management, biostatistics, or bioinformatics
Why Join Us
- Work at the intersection of life sciences and cutting-edge AI — contributing to research that matters
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of meaningful, expertise-driven work
- Collaborate with leading AI research teams and life sciences organizations on high-impact projects
- Potential for ongoing work and contract extension as new projects launch