About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and research data — accelerating scientific discovery and improving how life sciences organizations operate at scale?
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 breakthroughs, regulatory filings, and advanced AI-driven analytics. This is a fully remote, flexible contract role built for experienced professionals who understand the stakes of data integrity in regulated life sciences environments.
- 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 full auditability for scientific analysis and regulatory submissions
- Define and enforce data policies covering classification, access controls, security, and metadata across research, clinical, regulatory, and partner teams
- Enable secure, governed data access that supports analytics, innovation, and external collaboration — while protecting confidential and patient-related information
- Assess and document data quality standards to support AI model training and evaluation workflows
- Collaborate with cross-functional stakeholders — scientific, IT, compliance, and business teams — to align data standards and operational workflows
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Deeply familiar with data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- A natural collaborator who can bridge scientific rigor with practical policy implementation across diverse teams
- Detail-oriented and systematic — you understand that in life sciences, data quality isn't a nice-to-have, it's a requirement
- Comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data pipelines
- Familiarity with frameworks such as FAIR data principles, CDISC standards, or GxP compliance requirements
- Background in regulatory affairs, clinical data management, or bioinformatics
- Experience working with AI or machine learning teams on data readiness and governance
Why Join Us
- Work on cutting-edge AI and life sciences projects alongside leading research organizations
- Fully remote and flexible — structure your work around your life, not the other way around
- Freelance autonomy with the substance of meaningful, high-impact work
- Contribute directly to the data infrastructure that enables better science and smarter AI
- Exposure to advanced AI models and how high-quality governed data drives better outcomes in research and discovery
- Potential for ongoing work and contract extension as new projects launch