Alignerr
Biotech Health Data Governance Lead
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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 processes some of the most critical scientific data in the world? 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 life sciences and biotech professionals who know what it takes to govern complex, regulated 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 for scientific analysis and regulatory submissions
- Define and enforce data policies covering 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 stakeholders to align data standards and workflows
- Support the development of high-quality, trustworthy data pipelines that feed cutting-edge AI models in the life sciences space
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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
- Deeply familiar with data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
- A natural collaborator who can bridge the gap between scientific, technical, and compliance teams
- Detail-oriented and methodical — you understand that in regulated environments, precision isn't optional
- Comfortable working independently and asynchronously in a remote, flexible setting
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Nice to Have
- Prior experience with data annotation, data quality assessment, or evaluation systems
- Familiarity with AI training workflows or how high-quality data is used to build AI models
- Background in regulatory affairs, clinical data management, or GxP environments
- Experience with metadata management tools, data catalogs, or governance platforms
Why Join Us
- Work on cutting-edge AI and life sciences projects alongside leading research teams
- 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 advances scientific discovery and healthcare innovation
- Potential for ongoing work and contract extension as new projects launch
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Jessica, London
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