Biotech Health Data Governance Lead

Alignerr Corp.; Austin (CO); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Flexible hours

Job summary

Alignerr seeks a Biotech Health Data Governance Lead to shape AI training on life sciences data. You will ensure research and clinical data are accurate, traceable, and compliant for regulatory submissions and advanced analytics.

This fully remote, hourly contract role invites experienced professionals to drive governance across biotech, clinical research, and regulatory domains with impact and independence.

Qualifications

• Experience leading data governance programs in biotech or life sciences.
• Knowledge of privacy, security, and regulatory expectations for research data (FDA, ICH, GCP).
• Ability to work asynchronously in a remote environment.
• Strong focus on data quality and auditability.

Responsibilities

• Govern biotech research and clinical trial data for accuracy, lineage, and auditability.
• Define and enforce data policies across teams (classification, access controls, security, metadata).
• Enable governed data access for analytics and collaborations while protecting patient information.
• Identify data quality gaps and lead remediation across pipelines.
• Collaborate with scientists, IT, compliance, and business stakeholders to align data standards and workflows.
• Support AI model development by ensuring data meets quality and compliance standards.

Skills

Data governance

Biotech/Life sciences experience

Regulatory compliance

Cross-functional collaboration

Tools

EDC platforms

Metadata management tools

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 — influencing the next generation of drug discovery, clinical trials, and regulatory science?

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 life sciences and clinical data professionals who want 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 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 access to data for analytics, innovation, and external collaborations — while protecting confidential and patient-related information
• Identify data quality gaps and lead initiatives to remediate issues across research and clinical data pipelines
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and governance frameworks
• Support AI model development by ensuring the underlying biotech and clinical datasets meet rigorous quality and compliance standards

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deep understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data (e.g., FDA, ICH, GCP)
• Skilled at navigating cross-functional teams — bridging the gap between scientists, IT professionals, compliance officers, and business stakeholders
• Detail-oriented and systematic, with a strong instinct for data quality and auditability
• Comfortable working independently and asynchronously in a remote, flexible environment

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training data pipelines
• Familiarity with clinical data management systems, EDC platforms, or research data repositories
• Background in regulatory affairs, clinical operations, or translational research
• Exposure to AI or machine learning workflows in a life sciences context

Why Join Us

• Work at the intersection of cutting-edge AI and life sciences research — a genuinely rare opportunity
• Fully remote and flexible — structure your hours around your life, not the other way around
• Freelance autonomy with the substance of high-stakes, meaningful work
• Contribute directly to AI initiatives that support better science and faster discovery
• Potential for ongoing work and contract extension as new projects launch