Biotech Health Data Governance Lead

Alignerr Corp.; Mumbai; Remote; INR 1,102,000 - 2,480,000; Part time

Job summary

Alignerr seeks a Biotech Health Data Governance Lead (AI Training) to ensure biotech research and clinical trial data are accurate, traceable, and compliant for AI training and regulatory submissions. This fully remote hourly-contract role focuses on governance across research, clinical, regulatory, and partner teams.

You will enable secure access, define data policies, and drive data quality, collaborating with scientific, IT and compliance stakeholders in a flexible, high-impact environment.

Qualifications

• Experience leading data governance in biotech or regulated environments.
• Knowledge of data privacy, security and regulatory expectations (GCP, HIPAA, FDA 21 CFR Part 11).
• Ability to translate complex requirements into actionable data standards.
• Detail-oriented with a systematic approach to data quality and auditability.
• Self-directed, comfortable working remotely and asynchronously.

Responsibilities

• Govern biotech research and clinical trial data for accuracy and auditability.
• Define and enforce data policies across classification, access, security, and metadata.
• Provide governed data access for analytics, innovation, and collaborations while protecting patient data.
• Identify and resolve data quality issues impacting integrity and compliance.
• Collaborate with science, IT, compliance and business to align standards.
• Support AI training by ensuring high-quality data pipelines.

Skills

Data governance

Regulatory compliance

Biotech / life sciences

Auditability

Cross-functional collaboration

Tools

Data catalogs

Metadata management

Clinical data management systems

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 operates within one of the most complex, high-stakes domains in 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 the next generation of AI-driven scientific discovery and regulatory submissions. This is a fully remote, flexible contract role built for experienced professionals in life sciences, clinical research, or regulated data environments who want to apply their expertise at the frontier of AI development.

• 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 across scientific analysis and regulatory submissions
• Define and enforce data policies covering 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
• Identify and resolve data quality issues that could impact scientific integrity or compliance
• Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows
• Support AI training initiatives by ensuring high-quality, well-structured, and trustworthy data pipelines
  

Who You Are

• Experienced in leading or implementing data governance programs within biotech, life sciences, clinical research, or other regulated data environments
• Deeply familiar with data privacy, security, compliance, and regulatory expectations specific to research and clinical trial data (e.g., GCP, HIPAA, FDA 21 CFR Part 11)
• Able to bridge scientific, technical, and compliance perspectives - translating complex requirements into clear, actionable data standards
• Naturally detail-oriented with a systematic approach to data quality and auditability
• 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 workflows
• Familiarity with metadata management tools, data catalogs, or clinical data management systems
• Background in biostatistics, bioinformatics, or regulatory affairs
• Experience working with cross-functional or globally distributed teams
  

Why Join Us

• Work on cutting-edge AI projects alongside leading life sciences research teams and AI labs
• Fully remote and flexible - work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Gain direct exposure to how high-quality governed data enables breakthroughs in AI and life sciences
• Potential for ongoing work and contract extension as new projects launch