Biotech Health Data Governance Lead

Alignerr; Pittsburgh (Allegheny County); Remote; USD 83,000 - 138,000; Full time

Job summary

Alignerr seeks a Biotech Health Data Governance Lead to shape how AI training uses biotech and clinical data. This fully remote, hourly-contract role focuses on accurate, auditable data governance across research, regulatory, and partner ecosystems.

You'll define policies, enforce privacy and security controls, and collaborate with scientists, IT, and compliance teams to ensure data readiness for AI models and regulatory submissions. 10–40 hours/week, remote.

Qualifications

• Experience leading or implementing data governance programs in biotech, life sciences, clinical research, or regulated data environments.
• Strong knowledge of data privacy, security, and regulatory expectations for research and clinical data.
• Ability to work across diverse teams to align on data standards.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for analysis and submissions
• Define and enforce data policies covering classification, access controls, security, and metadata standards across teams
• Enable secure, governed data access for analytics while protecting patient information
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards
• Support development of high-quality datasets underpinning AI models in life sciences

Skills

Data governance

Data privacy

Regulatory compliance

Cross-functional collaboration

Attention to detail

Remote work

Job description

Biotech Health Data Governance Lead (AI Training)

About The Role

What if your expertise in biotech and clinical data governance could directly shape how AI understands and works with life sciences research? 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 in biotech, life sciences, or regulated data environments. If you've built or led data governance programs and understand what it takes to keep complex research data trustworthy and audit-ready, this role was made for you.

• 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 controls, security, and metadata standards 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 cross-functionally with scientific, IT, compliance, and business stakeholders to align data standards and workflows
• Support the development of high-quality, trustworthy datasets that underpin cutting-edge AI models in the life sciences space

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or regulated data environments
• Strong command of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
• Skilled at working across diverse teams — scientists, engineers, compliance officers, and business partners — to align on data standards
• Detail-oriented and systematic, with a clear understanding of what makes data trustworthy at scale
• Self-directed and comfortable working independently in a remote, asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training datasets
• Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, ICH guidelines, or GDPR as applied to clinical research
• Background in clinical data management systems or research data platforms
• Experience working with AI or machine learning teams on data readiness

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 research and AI development that has real-world scientific and healthcare impact
• Potential for ongoing work and contract extension as new projects launch