Alignerr
Biotech Health Data Governance Lead
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Biotech Health Data Governance Lead (AI Training)
About The Role
What if your deep knowledge of biotech data and clinical research could directly shape how AI understands and handles the most sensitive, high-stakes information in science? 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 in life sciences, clinical research, or regulated data environments who want to make a real impact at the intersection of biotech and AI.
- 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, innovation, and external collaborations while protecting confidential and patient-related information
- Collaborate with scientific, IT, compliance, and business teams to align data standards, workflows, and governance frameworks
- Support AI model development with high-quality, trustworthy life sciences data
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Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
- Strong command of data privacy, security, compliance, and regulatory expectations for research and clinical trial data
- Skilled at bridging scientific, technical, and business teams to align on data standards and practices
- Detail-oriented and systematic — you understand what it means to get data governance right in high-stakes environments
- Comfortable working independently and managing your own priorities in a remote, async setting
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Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI model training workflows or how training data shapes model behavior
- Background in regulatory affairs, clinical data management, or bioinformatics
- Experience working with cross-functional or global teams in life sciences
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 directly supports better science and safer research
- Exposure to advanced AI models and the role high-quality data plays in shaping them
- Potential for ongoing work and contract extension as new projects launch
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