Job Description
Responsibilities
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 covering classification, access control, security, and metadata standards 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
- Collaborate with scientific, IT, compliance, and business stakeholders to align data standards and workflows across complex, cross-functional environments
- Support the integrity and trustworthiness of data used to train and evaluate cutting-edge AI models in life sciences contexts
Who You Are
- Experienced in leading or implementing data governance programs in biotech, life sciences, clinical research, or other regulated data environments
- Strong understanding of data privacy, security, compliance frameworks, and regulatory expectations for research and clinical trial data
- A natural collaborator — comfortable bridging scientific, technical, compliance, and business teams to align on data standards
- Detail-oriented and systematic, with a track record of building governance structures that hold up under scrutiny
- Self-directed and reliable when working independently in an asynchronous, remote environment
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training data pipelines
- Familiarity with regulatory frameworks such as FDA 21 CFR Part 11, GCP, HIPAA, or GDPR in a life sciences context
- Background in clinical data management, biostatistics, or research informatics
- Exposure to AI/ML data workflows or working with data science teams
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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