Biotech Health Data Governance Lead

Alignerr Corp.; Seattle (WA); Remote; USD 110,000 - 193,000; Part time

Job summary

Alignerr seeks Biotech Health Data Governance Lead to shape AI training data governance for clinical research and regulatory submissions. This remote hourly contract role focuses on governing high-stakes biotech data and ensuring accuracy, lineage, and auditability across datasets.

You will define policies on classification, access controls, privacy, and metadata, enabling secure data access for analytics while protecting patient information.

Qualifications

• Experience leading data governance in biotech or regulated environments.
• Ability to translate complex rules into practical workflows.
• Strong understanding of privacy and security for research data.

Responsibilities

• Govern biotech research and clinical data for accuracy, lineage, and auditability.
• Define data policies across research, regulatory, and partner teams.
• Ensure secure, governed access for analytics and collaborations.
• Identify gaps and develop practical remediation strategies.
• Collaborate with scientists, IT, and compliance to align standards.

Skills

Data governance leadership

Regulatory compliance

Policy development

Cross-functional collaboration

Communication skills

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 reasons about clinical research, regulatory submissions, and life sciences data?

We're partnering with leading AI research teams and life sciences organizations to build AI models grounded in high-quality, trustworthy scientific data. We're looking for a Biotech Health Data Governance Lead to bring rigor, structure, and compliance expertise to the research and clinical trial data that powers these systems.

This is a fully remote, flexible contract role designed for experienced professionals who know what it takes to govern sensitive, regulated data in high-stakes 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 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


• Identify gaps in data quality, traceability, and compliance posture and develop practical strategies to address them


• Collaborate across scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks


• Support the development of annotation, data quality, and evaluation systems that make AI training data more reliable and scientifically sound

Who You Are

• Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments


• Deeply familiar with data privacy, security, and compliance expectations for research and clinical trial data — including relevant regulatory frameworks


• Skilled at translating complex governance requirements into practical policies and workflows that cross-functional teams can actually use


• A clear communicator who can bridge the gap between scientific, technical, and compliance perspectives


• Detail-oriented, systematic, and comfortable operating independently in a remote, async work environment

Nice to Have

• Prior experience with data annotation, data quality frameworks, or AI training data evaluation


• Familiarity with clinical data standards such as CDISC, HL7, or FHIR


• Background working with IRBs, regulatory bodies, or in GxP-compliant environments


• Exposure to AI/ML workflows and how high-quality data enables better model performance

Why Join Us

• Work at the intersection of cutting‑edge AI and life sciences research alongside world‑class 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 systems that could transform how scientific discovery and clinical research are conducted


• Potential for ongoing work and contract extension as new projects launch