Precision Medicine Data Lead (AI Training)
About The Role
What if your expertise in genomics and clinical data could directly shape how AI understands and advances personalized medicine for patients around the world We're looking for a Precision Medicine Data Lead to guide how complex healthcare and genomic datasets are integrated, governed, and transformed into actionable insights — powering the next generation of AI models trained on real scientific knowledge.
This is a fully remote, flexible contract role built for experienced data professionals in genomics, life sciences, or clinical analytics who want to make a meaningful impact on cutting-edge AI development.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
- Lead analytical strategies that convert complex, multi-modal datasets into actionable insights for precision medicine research and clinical decision support
- Evaluate and validate AI-generated outputs related to genomic and clinical data for scientific accuracy, completeness, and real-world applicability
- Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
- Communicate complex data findings clearly and effectively to both technical and non-technical stakeholders
- Contribute to data governance frameworks that uphold standards in highly regulated healthcare and research environments
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Strong foundation in data integration, data governance, and translating complex scientific data into meaningful, decision-ready insights
- Comfortable collaborating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Naturally detail-oriented with a systematic approach to data quality and accuracy
- Clear and confident communicator capable of bridging the gap between science and strategy
Nice to Have
- Prior experience with data annotation, data quality assurance, or AI evaluation systems
- Familiarity with bioinformatics tools, genomic data formats, or clinical data standards (e.g., HL7, FHIR, OMOP)
- Background in translational research, computational biology, or precision oncology
- Experience working with or evaluating AI/ML models in a scientific or clinical context
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs and AI teams
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Apply deep domain expertise to problems that sit at the frontier of AI and medicine
- Contribute to AI development that could reshape how personalized healthcare is delivered at scale
- Potential for ongoing work and contract extension as new projects launch
