Precision Medicine Data Lead

Alignerr Corp.; Seattle (WA); Remote; USD 110,000 - 193,000; Full time

Benefits offered by this job

Remote work

Job summary

Alignerr is seeking a Precision Medicine Data Lead to guide how genomic and clinical data are integrated, governed, and transformed into actionable insights for AI training in precision health. This is a remote, hourly contract role designed for experienced healthcare data professionals.

You will work with clinicians and researchers to ensure data quality, regulatory compliance, and alignment with AI development goals.

Qualifications

• Experience leading data teams in healthcare, genomics, or life sciences.
• Strong data governance and data quality management skills.
• Ability to translate complex scientific data into actionable insights.

Responsibilities

• Design, oversee, and optimize data pipelines across genomics and clinical data.
• Lead analytics strategies transforming integrated data into insights for AI in precision medicine.
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality and compliance.
• Communicate findings to technical and non-technical stakeholders.
• Evaluate data workflows to improve AI model training and clinical relevance.

Skills

Data governance

Data integration

Genomics data

Clinical data analytics

Stakeholder communication

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 guide how complex healthcare datasets are integrated, governed, and transformed into the actionable insights that power next-generation AI models in clinical research and precision health. This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of life sciences and cutting-edge AI.

• 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 precision medicine initiatives and clinical decision support
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory compliance, and strategic alignment
• Communicate findings clearly and effectively to both technical and non-technical stakeholders
• Evaluate and improve how AI models handle healthcare and genomic data — ensuring scientific accuracy, clinical relevance, and real-world applicability

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 meaningful insights
• Skilled at working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, methodical, and comfortable operating at the frontier of healthcare data science
• Self-motivated and reliable when working independently in a remote, async environment

Nice to Have

• Prior experience with data annotation, data quality assessment, or evaluation systems
• Familiarity with AI training workflows or large language model (LLM) evaluation
• Background in bioinformatics, translational research, or clinical informatics
• Experience with regulatory frameworks relevant to healthcare data (HIPAA, GDPR, etc.)

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
• Contribute directly to how AI understands and advances precision medicine at scale
• Potential for ongoing work and contract extension as new projects launch