Biotech Health Data Governance Lead
Alignerr
Biotech Health Data Governance Lead (AI Training) 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
Vacancy posted 2 days ago
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