About this opportunity
Alignerr Corp. lists this Biotech Health Data Governance Lead opportunity in sheffield, Alabama. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Biotech Health Data Governance Lead (AI Training)
About The Role
What if your expertise in biotech and clinical data could directly shape how AI understands and operates within one of the most regulated, high‑stakes industries 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 submissions, and advanced AI‑driven analytics.
This is a fully remote, flexible contract role built for experienced professionals who know how to navigate the intersection of life sciences, data compliance, and cutting‑edge technology.
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 standards, and metadata management across research, clinical, regulatory, and partner teams
Enable secure, governed data access for analytics, innovation pipelines, and external collaborations — while rigorously protecting confidential and patient‑related information
Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
Support the development of high‑quality, trustworthy data that underpins cutting‑edge AI model training in life sciences
Who You Are
Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
Strong command of data privacy, security, compliance frameworks, and regulatory expectations specific to research and clinical trial data
Able to bridge scientific, technical, and business teams — translating complex data standards into practical, enforceable policies
Detail‑oriented, systematic, and comfortable operating independently in a remote, asynchronous environment
Confident working across ambiguous, fast‑moving projects where data quality and integrity are mission‑critical
Nice to Have
Prior experience with data annotation, data quality assurance, or AI evaluation systems
Familiarity with regulatory submission requirements (FDA, EMA, ICH guidelines, or similar)
Background in data architecture, master data management, or clinical data management platforms
Experience working with or evaluating AI‑generated data outputs in a scientific context
Why Join Us
Work on cutting‑edge AI and life sciences projects alongside leading research teams
Fully remote and flexible — structure your hours around your life, not the other way around
Freelance autonomy with the substance of meaningful, high‑impact work
Contribute to data governance initiatives that directly enable better science and more trustworthy AI
Exposure to how advanced AI models are trained and validated using high‑quality scientific data
Potential for ongoing work and contract extension as new projects launch
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.