Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Cambridge; Remote; GBP 83,000 - 165,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead to steer integration and governance of genomics and clinical data for AI training and clinical research initiatives. The role is a fully remote hourly contract, offering 10–40 hours per week and collaboration with clinicians, researchers, and engineers.

You will design robust data pipelines, validate data quality, and drive governance in regulated environments to ensure reliable, actionable insights that advance personalized medicine.

Qualifications

• Experience leading analytics on large-scale healthcare/genomics datasets.
• Ability to translate complex data into actionable scientific/clinical insights.
• Familiarity with data governance and regulatory compliance in healthcare.

Responsibilities

• Design, oversee, and optimize data pipelines integrating genomics, clinical records, and biomarkers into unified analytics platforms.
• Lead analytical strategies to convert multi-source datasets into actionable insights for clinical decision support and precision medicine.
• Evaluate and validate quality, accuracy, and integrity of healthcare and genomic data used in AI training workflows.
• Collaborate with clinicians, researchers, and technical teams to ensure data governance and regulatory compliance.
• Translate findings clearly for scientific and non-technical stakeholders.
• Identify gaps and opportunities for data improvement across integrated datasets.

Skills

Data leadership

Healthcare data

Genomics

Data governance

Cross-functional collaboration

Tools

Data pipelines

EHR systems

Job description

Alignerr is seeking a Precision Medicine Data Lead to steer integration and governance of genomics and clinical data for AI training and clinical research initiatives. The role is a fully remote hourly contract, offering 10–40 hours per week and collaboration with clinicians, researchers, and engineers.

You will design robust data pipelines, validate data quality, and drive governance in regulated environments to ensure reliable, actionable insights that advance personalized medicine.