Biotech Health Data Governance Lead

Alignerr; Austin (CO); Remote; USD 27,000 - 146,000; Part time

Benefits offered by this job

Fully remote

Flexible schedule

Potential contract extensions

Job summary

Alignerr Corp. is seeking a Biotech Health Data Governance Lead (AI Training) to ensure biotech research and clinical trial data are accurate, traceable, compliant, and ready for advanced AI analytics and regulatory submissions.

This fully remote contract role offers 10–40 hours per week and emphasizes data quality, privacy, and governance across teams. You will define data policies, enable secure, governed access, and collaborate with scientists, IT, and compliance to align standards and

Qualifications

• Experience leading data governance programs in biotech or regulated data environments.
• Knowledge of data privacy, security, and regulatory expectations (FDA/ICH/GCP).
• Ability to coordinate across scientists, IT, compliance, and business stakeholders.
• Detail-oriented with a focus on data quality and auditable pipelines.
• Comfortable working asynchronously in a remote environment.

Responsibilities

• Govern biotech research and clinical trial data to ensure accuracy, lineage, and auditability for analyses and regulatory submissions.
• Define and enforce data policies across classification, access controls, security standards, and metadata management.
• Enable governed data access for analytics and collaborations while protecting patient information.
• Identify data quality gaps and lead remediation across data pipelines in research and clinical domains.
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and governance frameworks.
• Support AI model development by ensuring datasets meet quality and compliance standards.

Skills

Data governance

Regulatory compliance

Data privacy

Auditability

Cross-functional collaboration

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