Precision Medicine Data Lead

Alignerr; Boston (MA); Remote; USD 83,000 - 152,000; Full time

Job summary

Alignerr is seeking a Precision Medicine Data Lead (AI Training) to guide data strategies for cutting-edge AI in precision medicine. This fully remote, hourly contract role offers 10–40 hours/week and visibility across genomics, clinical data, and regulatory-compliant analytics.

You will design data pipelines, drive analytical programs, and collaborate with clinical and AI teams to improve model interpretation and outcomes.

Qualifications

• Experience with large-scale healthcare or life sciences datasets in analytics or leadership roles.
• Ability to design and govern data integration pipelines across genomics and clinical data.
• Proven skill translating complex scientific data into actionable insights for AI.

Responsibilities

• Design and oversee data pipelines integrating genomics, clinical records, biomarkers into unified analytics.
• Lead analytics strategies transforming datasets into insights for clinical decision support and research.
• Evaluate and improve how AI models interpret genomic and clinical data for accuracy.
• Collaborate with clinicians, researchers, and engineers to ensure data quality and compliance.
• Communicate findings to stakeholders across clinical, research, and engineering teams.
• Contribute to data governance frameworks upholding regulatory best practices.

Skills

Genomics data

Clinical data

Data governance

Analytics leadership

Regulatory compliance

Cross-functional

Tools

HL7

FHIR

OMOP

Job description

Precision Medicine Data Lead (AI Training)

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