Precision Medicine Data Lead
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-10-16
Listing for:
Alignerr Corp.
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Data Scientist, AI Engineer (Applied/Software)
Job Description & How to Apply Below
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
- 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
- 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
- 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
- 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
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