About the Role
What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for millions of patients worldwide? We're looking for a Precision Medicine Data Lead to help guide the development of cutting-edge AI models — bringing deep healthcare and life sciences knowledge to one of the most consequential frontiers in modern technology.
This is a fully remote, flexible contract role designed for experienced data professionals with a background in genomics, clinical informatics, or healthcare analytics. You'll work alongside leading AI research teams to ensure that complex, high-stakes medical data is handled with rigor, translated into meaningful insights, and used to train AI that genuinely advances precision medicine.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
- Lead analytical strategies that transform complex, integrated datasets into actionable insights for clinical decision support and precision medicine research
- Evaluate and improve how AI models interpret genomic and clinical data — identifying gaps, errors, and opportunities for greater accuracy
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific integrity
- Communicate findings and data-driven insights clearly to cross-functional stakeholders across clinical, research, and engineering disciplines
- Contribute to data governance frameworks that uphold compliance and best practices in regulated healthcare environments
Who You Are
- Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
- Strong background in data integration, data governance, and translating complex scientific data into actionable insights
- Comfortable working cross-functionally with clinical, research, and engineering teams in technical or regulated environments
- Sharp analytical thinker who can bridge the gap between raw data and real-world clinical meaning
- Self-directed, reliable, and capable of delivering high-quality work independently
Nice to Have
- Prior experience with data annotation, data quality assessment, or AI evaluation workflows
- Familiarity with bioinformatics tools, EHR systems, or clinical data standards (e.g., HL7, FHIR, OMOP)
- Background in translational research, precision oncology, or population health analytics
- Experience working with or evaluating large language models (LLMs) in scientific contexts
Why Join Us
- Work on cutting-edge AI projects alongside the world's leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, high-impact work
- Direct exposure to how advanced AI models are trained and evaluated in healthcare contexts
- Contribute to work that has the potential to meaningfully improve patient outcomes at scale
- Potential for ongoing work and contract extension as new projects launch