Biotech Health Data Governance Lead

Alignerr Corp.

Miami (FL)

Remote

USD 83,000 - 165,000

Full time

24 hours ago
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Job summary

Alignerr Corp. seeks a Biotech Health Data Governance Lead to ensure biotech and clinical data are accurate, traceable and compliant for AI-driven analytics. This is a fully remote hourly contract with 10–40 hours per week, designed for seasoned governance professionals in biotech or regulated environments.

You will define data policies, enable secure access for analytics, and collaborate with scientific, IT, and compliance teams to align standards and workflows across projects.

Qualifications

  • Experience leading data governance in biotech or regulated environments.
  • Strong knowledge of privacy, security and regulatory expectations for research data.
  • Ability to bridge scientific, technical and compliance teams with clarity.

Responsibilities

  • Govern biotech research and clinical data for accuracy, lineage, and auditability.
  • Define/enforce data policies for classification, access, security, and metadata.
  • Ensure governed access to data for analytics while protecting patient data.
  • Improve data quality frameworks for AI model training/validation.
  • Collaborate across scientific, IT, compliance and business teams.

Skills

Data governance
Biotech / life sciences
Regulatory compliance
Data privacy & security
Cross-functional collaboration
Auditability
AI training data
Remote / asynchronous work

Job description

Biotech Health Data Governance Lead (AI Training)
About The Role

What if your expertise in biotech and clinical data could directly shape how the next generation of AI understands 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 filings, and advanced AI-driven analytics.

This is a fully remote, flexible contract role built for experienced data governance professionals in biotech, life sciences, or regulated clinical 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 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
  • Evaluate and improve data quality frameworks used to train and validate AI models in life sciences contexts
  • Collaborate with scientific, IT, compliance, and business teams to align data standards, workflows, and governance practices
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 working cross-functionally — bridging scientific, technical, and compliance teams with clarity and credibility
  • Methodical and detail-oriented with a deep commitment to data integrity and auditability
  • Comfortable working independently and asynchronously in a remote, task-based environment
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, or GDPR as applied to clinical data
  • Background in clinical data management, bioinformatics, or research informatics
  • Experience with metadata management systems or data cataloguing tools
Why Join Us
  • Work on cutting-edge AI and life sciences projects alongside leading research labs
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, high-impact work
  • Gain exposure to how high-quality governed data enables better AI and better science
  • Potential for ongoing work and contract extension as new projects launch
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