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Job description
About the Role
What if your expertise in biotech data governance could directly shape how AI understands and works with life sciences research? We're looking for a Biotech Health Data Governance Lead to ensure that clinical trial and research data is accurate, traceable, compliant, and ready to power the next generation of AI-driven scientific discovery.
This is a fully remote, flexible contract role built for experienced professionals who know how to navigate the complex intersection of data integrity, regulatory compliance, and scientific research.
- Organization
: Alignerr - Type
: Hourly Contract - Location
: Remote - Commitment
: 10-40 hours/week
- Lead governance of biotech research and clinical trial data - ensuring 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 data access for analytics, innovation, and external collaborations while protecting confidential and patient-related information
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards, workflows, and best practices
- Support the development of high-quality, trustworthy data pipelines that underpin cutting-edge AI model training in life sciences
- 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
- Skilled at bridging scientific, technical, and business teams - translating complex data requirements into practical, enforceable policies
- Naturally detail-oriented with a systematic approach to data quality, traceability, and auditability
- Self-directed and comfortable working independently in a remote, asynchronous environment
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with regulatory submission standards such as FDA, EMA, or ICH guidelines
- Background in clinical data management, biostatistics, or research informatics
- Exposure to AI/ML data pipelines or life sciences technology platforms
- Work on cutting-edge AI projects alongside leading research labs and life sciences organizations
- Fully remote and flexible - work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Make a direct contribution to AI systems that advance scientific discovery and improve human health
- Potential for ongoing work and contract extension as new projects launch
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Governance Consultant?
A: To succeed as a Data Governance Consultant, key technical skills include proficiency in data management frameworks (e.g., ISO 38500, COBIT), data governance tools (e.g., Collibra, Alation), and programming languages (e.g., Python, SQL). Soft skills such as strong communication, stakeholder management, and analytical skills are also crucial, as consultants must navigate complex organizational dynamics and provide actionable recommendations to drive data-driven decision-making. By combining technical expertise with effective interpersonal and problem-solving skills, Data Governance Consultants can drive business value and advance their careers through leadership opportunities and professional certifications.
Q: What is the career path for a Data Governance Consultant?
A: A Data Governance Consultant's typical career progression involves starting as a Data Governance Analyst or Coordinator, where they develop foundational knowledge of data governance principles and practices. As they gain experience, they can move into mid-level roles such as Data Governance Specialist or Senior Data Governance Analyst, where they apply their expertise to implement data governance frameworks and policies. Senior roles, including Data Governance Manager or Director of Data Governance, involve strategic leadership and oversight of data governance initiatives, and may also involve opportunities to develop skills in related areas such as data quality, compliance, and risk management.