Biotech Health Data Governance Lead

Alignerr; Indianapolis (IN); Remote; USD 96,000 - 179,000; Full time

Job summary

Alignerr is seeking a Biotech Health Data Governance Lead (AI Training) for a fully remote hourly contract. You will govern clinical trial and research data, enforce data policies, and enable secure, compliant access for analytics and AI work.

Ideal candidates bring biotech data governance leadership experience, strong regulatory knowledge, and the ability to collaborate across scientific, IT, compliance, and business teams in a remote, asynchronous setting.

Qualifications

• Experience leading or implementing data governance in biotech or regulated data environments.
• Strong understanding of data privacy, security, and regulatory expectations for research data.
• Bridge scientific, technical and business teams to align on data standards.
• Detail-oriented and able to work independently in a remote environment.

Responsibilities

• Govern biotech research and clinical trial data for accuracy, lineage, and auditability.
• Define and enforce data policies for classification, access, security, and metadata.
• Enable governed data access for analytics while protecting patient information.
• Collaborate with stakeholders to align data standards, workflows, and governance.
• Support AI model development by ensuring data quality and compliance.

Skills

Data governance

Biotech data

Regulatory compliance

Remote work

Job description

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 works with life sciences research at the highest level? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research 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 biotech, life sciences, or regulated data environments who want to do meaningful, high-impact work on their own terms.

• 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 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 stakeholders to align data standards, workflows, and governance frameworks
• Support AI model development by ensuring underlying life sciences data meets the highest standards of quality and compliance

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments
• Strong understanding 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 best practices
• Detail-oriented, systematic, and confident working independently in a remote, asynchronous environment
• Comfortable navigating complex, multi-stakeholder data ecosystems with clarity and authority

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH E6, GDPR, or HIPAA
• Background in clinical data management, biostatistics, or health informatics
• Experience working with AI or machine learning teams in a life sciences context

Why Join Us

• Work at the intersection of life sciences and cutting-edge AI research alongside world-leading teams
• Fully remote and flexible — structure your work around your schedule
• Freelance autonomy with the substance of high-stakes, meaningful projects
• Contribute directly to AI systems that could accelerate scientific discovery and improve human health
• Potential for ongoing work and contract extension as new projects launch