Precision Medicine Data Lead

Alignerr Corp.; Kansas City (MO); Remote; USD 83,000 - 131,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

High-impact projects

Job summary

Alignerr Corp. is seeking a Precision Medicine Data Lead to guide the integration of genomics and clinical data for AI training and evaluation in precision medicine. You will lead data pipelines, ensure regulatory alignment, and translate complex findings for clinical stakeholders.

The role is remote, hourly, with 10–40 hours per week, offering freelance autonomy and ongoing project opportunities in cutting-edge life sciences AI research.

Qualifications

• 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, scientifically rigorous, and confident communicating with both technical and non-technical collaborators
• Self-motivated and reliable — you produce high-quality work independently without close supervision
• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, clinical informatics, or population health analytics
• Experience working in regulated healthcare environments (HIPAA, GCP, or similar)

Responsibilities

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
• Lead analytical strategies that convert complex, multi-source datasets into actionable insights for clinical decision support and precision medicine initiatives
• Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific rigor, and clinical relevance
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Translate highly technical findings into clear, structured insights for diverse scientific and clinical stakeholders
• Apply domain expertise to assess and improve how AI models reason about biological and clinical data

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 the integration of complex healthcare datasets into actionable insights — helping train and evaluate cutting-edge AI models at the frontier of life sciences.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms
• Lead analytical strategies that convert complex, multi-source datasets into actionable insights for clinical decision support and precision medicine initiatives
• Evaluate AI-generated outputs related to healthcare and genomic data for accuracy, scientific rigor, and clinical relevance
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Translate highly technical findings into clear, structured insights for diverse scientific and clinical stakeholders
• Apply your domain expertise to assess and improve how AI models reason about biological and clinical 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, scientifically rigorous, and confident communicating with both technical and non-technical collaborators
• Self-motivated and reliable — you produce high-quality work independently without close supervision

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, clinical informatics, or population health analytics
• Experience working in regulated healthcare environments (HIPAA, GCP, or similar)

Why Join Us

• Work on cutting-edge AI projects alongside world-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, task-based work
• Apply deep domain expertise to one of the most consequential intersections of AI and human health
• Potential for ongoing work and contract extension as new projects launch