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 guide the integration, governance, and transformation of complex healthcare datasets — helping build the AI systems that will power the next generation of clinical research and precision treatment strategies.
This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the cutting edge of AI and biomedicine.
- 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 data into unified analytics platforms
- Lead analytical strategies that convert complex, integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives
- Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and strategic alignment
- Translate highly technical findings into clear, meaningful outputs for both scientific and non-technical stakeholders
- Contribute domain expertise to the development and evaluation of AI models trained on healthcare and life sciences data
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 data into meaningful insights for scientific or clinical audiences
- Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
- Detail-oriented, methodical, and able to maintain rigorous standards across complex, multi-source datasets
- Self-motivated and reliable when working independently and asynchronously
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Familiarity with bioinformatics tools, electronic health records (EHR) systems, or clinical data standards (HL7, FHIR, etc.)
- Background in translational research, computational biology, or clinical informatics
- Experience working with or evaluating large language models (LLMs) in scientific contexts
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
- Contribute directly to AI systems that could reshape how medicine is practiced and personalized at scale
- Exposure to advanced LLMs and the real-world processes behind how they are trained and evaluated
- Potential for ongoing work and contract extension as new projects launch