About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with clinical and life sciences data? 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 know how to bring order, integrity, and trust to complex biotech data 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 auditability across scientific analysis and regulatory submissions
- Define and enforce data policies covering classification, access controls, security protocols, and metadata standards 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-sensitive information
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
- Support data readiness for regulatory submissions, audit trails, and AI training pipelines that depend on high-quality, trustworthy biotech data
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
- Strong command of data privacy, security, and compliance requirements for research and clinical trial data
- Skilled at bridging scientific and technical teams — translating governance needs into practical, enforceable standards
- Detail-oriented and systematic, with a track record of building data frameworks that hold up under regulatory scrutiny
- Comfortable working independently in a remote, asynchronous environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data workflows
- Familiarity with frameworks such as FAIR data principles, GDPR, HIPAA, or ICH E6 GCP guidelines
- Background working with clinical data management systems, biorepositories, or regulatory submission platforms
- Experience supporting FDA, EMA, or other regulatory body submissions
Why Join Us
- Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Contribute directly to AI development that advances how science and medicine use data
- Exposure to frontier AI models and the data systems that make better science possible
- Potential for ongoing work and contract extension as new projects launch