About the Role
What if your deep expertise in biotech data governance could directly shape how AI understands and works with clinical and research data at scale? We're looking for a Biotech Health Data Governance Lead to ensure that research and clinical trial data powering next-generation AI models is accurate, traceable, compliant, and ready for scientific discovery and regulatory scrutiny.
This is a fully remote, flexible contract role built for experienced life sciences professionals who want meaningful work with real impact — 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 full auditability for 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 sensitive data for analytics, innovation initiatives, and external collaborations — while protecting confidential and patient-related information
- Collaborate cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows
- Identify gaps in data quality or governance processes and implement practical, scalable solutions
Who You Are
- Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
- Strong working knowledge of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data (e.g., FDA, GCP, HIPAA, GDPR)
- Skilled at translating complex governance requirements into clear policies and actionable workflows
- Effective collaborator — you can bridge the gap between scientific, technical, and compliance teams
- Detail-oriented and systematic — you build processes that hold up under regulatory scrutiny
Nice to Have
- Prior experience with data annotation pipelines, data quality evaluation, or AI training data workflows
- Familiarity with clinical data management systems or electronic data capture (EDC) platforms
- Background in bioinformatics, regulatory affairs, or clinical data management
- Exposure to AI or machine learning data infrastructure in a life sciences context
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-impact work
- Contribute to AI development that accelerates real scientific discovery and innovation
- Exposure to how high-quality, governed data enables better AI models across the life sciences
- Potential for ongoing work and contract extension as new projects launch