Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; Charlotte (AR); Remote; USD 110,000 - 165,000; Part time

Job summary

Alignerr is seeking a Precision Medicine Data Lead to design and optimize pipelines that fuse genomics, clinical data, and biomarkers for AI training in a fully remote contract role. You will guide data governance, quality, and regulatory alignment while collaborating across clinicians, researchers, and engineering teams.

This senior, independent role focuses on transforming complex healthcare datasets into actionable insights to advance precision medicine research and clinical decision support

Qualifications

• Experience leading healthcare data initiatives and analytics programs.
• Ability to translate complex, multi-source data into actionable insights.
• Familiarity with clinical data standards and regulatory considerations.

Responsibilities

• Design and oversee pipelines integrating genomics, clinical records, and biomarkers into analytics platforms.
• Lead analytical strategies to transform integrated datasets for precision medicine research.
• Collaborate with clinicians, researchers, and engineers to ensure data quality and regulatory alignment.
• Communicate data findings clearly to technical and non-technical stakeholders.
• Evaluate how AI systems handle healthcare and genomic data for accuracy and clinical relevance.

Skills

Data governance

Data integration

Healthcare analytics

Cross-functional collaboration

Regulatory compliance

Tools

EHR systems

Biomedical ontologies

Job description

Alignerr is seeking a Precision Medicine Data Lead to design and optimize pipelines that fuse genomics, clinical data, and biomarkers for AI training in a fully remote contract role. You will guide data governance, quality, and regulatory alignment while collaborating across clinicians, researchers, and engineering teams.

This senior, independent role focuses on transforming complex healthcare datasets into actionable insights to advance precision medicine research and clinical decision support