Precision Medicine Data Lead

Alignerr; Sheffield (TX); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking a Precision Medicine Data Lead to design and refine data foundations powering AI for personalized medicine. This remote hourly contract role focuses on integrating genomics and clinical data into unified analytics platforms to inform research and clinical decisions.

You will collaborate with clinicians, researchers, and tech teams to ensure data quality, regulatory compliance, and scientific rigor, while shaping data strategies for impactful AI outcomes.

Qualifications

• Experience with large-scale healthcare/genomics datasets in analytics or data leadership.
• Data integration and governance expertise; translate data into actionable insights.
• Ability to work cross-functionally with clinical, research, and engineering teams in regulated environments.
• Excellent written communication to convey complex findings to diverse audiences.
• Detail-oriented with a strong focus on data quality and integrity.

Responsibilities

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
• Lead analytical strategies to transform integrated datasets into actionable insights for precision medicine research and clinical decision support.
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor.
• Translate complex findings into clear outputs for both technical and non-technical stakeholders.
• Apply data governance best practices to maintain compliance and integrity across sensitive healthcare datasets.
• Evaluate and improve AI-generated outputs in the context of genomic and clinical data workflows.

Skills

Healthcare data analytics

Data integration

Data governance

Cross-functional collaboration

Scientific 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? We're looking for a Precision Medicine Data Lead to help build and refine the data foundations that power cutting-edge healthcare AI — translating complex, large-scale biological and clinical datasets into insights that matter.

This is a fully remote, flexible contract role for an experienced professional with a strong background in healthcare data, genomics, or life sciences analytics. If you've spent your career making sense of complex data in high-stakes clinical or research environments, this is your opportunity to do it at the frontier of 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 data into unified analytics platforms
• Lead analytical strategies that transform integrated datasets into actionable insights for precision medicine research and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Translate complex findings into clear, meaningful outputs for both technical and non-technical stakeholders
• Apply data governance best practices to maintain compliance and integrity across sensitive healthcare datasets
• Evaluate and improve AI-generated outputs in the context of genomic and clinical data workflows

Who You Are

• Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles
• Deep background in data integration, data governance, and translating complex data into actionable scientific or clinical insights
• Comfortable operating cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Strong written communicator who can convey technical findings to diverse audiences
• Detail-oriented and rigorous — you hold data to a high standard

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI or machine learning workflows applied to healthcare or life sciences
• Background in bioinformatics, clinical informatics, or translational research
• Experience in regulated environments such as HIPAA-compliant or GxP settings

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 AI systems that could shape the future of personalized medicine
• Potential for ongoing work and contract extension as new projects launch