Precision Medicine Data Lead

Alignerr Corp.; Charlotte (AR); Remote; USD 110,000 - 207,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead to design and govern how genomics, clinical data, and biomarkers are integrated into analytics platforms to train AI systems for precision medicine research and clinical decision support.

The role emphasizes data governance, cross-functional collaboration with clinicians and engineers, and delivering rigorous, clinically meaningful insights in a fully remote, flexible contract arrangement.

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
• Strong data integration and governance background.
• Ability to translate complex data into insights for scientific or clinical audiences.
• Experience working with clinical, research, and engineering teams in regulated environments.

Responsibilities

• Design pipelines integrating genomics, clinical records, biomarkers and other healthcare data.
• Lead analytical strategies to transform data into actionable precision medicine insights.
• Ensure data quality, regulatory alignment, and strategic coherence with stakeholders.
• Communicate findings clearly to technical and non-technical audiences.
• Evaluate and improve AI systems handling healthcare and genomic data.

Skills

Genomics data

Healthcare data

Data governance

Cross-functional collaboration

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? We're looking for a Precision Medicine Data Lead to guide how complex healthcare datasets are integrated, governed, and transformed into actionable insights — and in doing so, help train the AI systems that will define the next generation of clinical research and care.

This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to work at the intersection of cutting-edge AI and 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 transform complex, integrated datasets into actionable insights for precision medicine research and clinical decision support
• Collaborate with clinicians, researchers, and engineering teams to ensure data quality, regulatory alignment, and strategic coherence
• Communicate findings and data narratives clearly to both technical and non-technical stakeholders
• Apply your expertise to evaluate and improve how AI systems handle healthcare and genomic data — ensuring outputs are accurate, rigorous, and clinically meaningful

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
• Skilled at working cross‑functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Comfortable navigating the nuances of healthcare data compliance and research ethics
• Detail‑oriented, self‑directed, and comfortable working independently in an asynchronous environment

Nice to Have

• Prior experience with data annotation, data quality assessment, or AI evaluation systems
• Familiarity with EHR systems, genomic databases, or biomedical ontologies
• Background in bioinformatics, computational biology, or clinical informatics
• Experience contributing to precision medicine or translational research initiatives

Why Join Us

• Work on cutting‑edge AI projects alongside world‑leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, expert‑level work
• Make a direct, tangible impact on how AI understands and advances human health
• Potential for ongoing work and contract extension as new projects launch