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