Precision Medicine Data Lead

Job summary

Design and optimize pipelines integrating genomic, clinical, biomarker, and other life sciences data, and develop analytical strategies that support precision medicine research and clinical decision-making. Evaluate AI-generated healthcare outputs for accuracy and scientific relevance, maintain data quality and regulatory alignment, and communicate findings to technical and non-technical stakeholders.

Job details

Precision Medicine Data Lead (AI Training) About The Role What if your expertise in genomics 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 help guide the integration, governance, and transformation of complex healthcare datasets — powering the next generation of AI-driven clinical insights. This is a fully remote, flexible contract role built for experienced healthcare data professionals who want to apply their expertise to cutting-edge AI development. 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 life sciences data into unified analytics platforms Lead analytical strategies that convert complex, integrated datasets into actionable insights for precision medicine research and clinical decision support Evaluate and improve AI-generated outputs related to healthcare data — assessing accuracy, clinical relevance, and scientific soundness Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality and regulatory alignment Translate complex data findings into clear, meaningful insights for both scientific and non-technical stakeholders Complete task-based assignments independently on your own schedule Who You Are Experienced working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles Strong foundation in data integration, data governance, and translating complex datasets into meaningful insights Comfortable working cross-functionally across clinical, research, and engineering teams in regulated or highly technical environments Detail-oriented and methodical — you hold data and AI outputs to a high standard Self-motivated and reliable when working independently without close supervision Nice to Have Prior experience with data annotation, data quality assessment, or AI evaluation workflows Background in bioinformatics, clinical informatics, or translational research Familiarity with regulatory frameworks such as HIPAA, GDPR, or FDA guidelines for healthcare data Experience contributing to precision medicine initiatives, clinical trials, or genomic research programs 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, high-impact work Apply deep domain expertise to AI development that could transform how medicine is practiced Potential for ongoing work and contract extension as new projects launch

What you’ll do

Design and optimize pipelines integrating genomic, clinical, biomarker, and other life sciences data, and develop analytical strategies that support precision medicine research and clinical decision-making. Evaluate AI-generated healthcare outputs for accuracy and scientific relevance, maintain data quality and regulatory alignment, and communicate findings to technical and non-technical stakeholders.

Requirements

Candidates should have experience working with large-scale healthcare, genomic, or life sciences datasets, along with strong capabilities in data integration, governance, and insight generation. They should be detail-oriented, self-motivated, and comfortable collaborating across clinical, research, and engineering teams; experience with AI evaluation, bioinformatics, clinical informatics, regulatory frameworks, or precision medicine is an advantage.

Benefits

• Fully Remote
• Flexible Schedule
• Freelance Autonomy
• Potential for Ongoing Work and Contract Extension

Listed skills

• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Healthcare Data Analytics
• Genomics Data
• Data Integration
• Data Governance
• Data Pipeline Design
• Clinical Data
• Biomarker Data
• Precision Medicine
• AI Output Evaluation
• Data Quality Assessment
• Clinical Decision Support
• Cross-Functional Collaboration
• Regulatory Alignment
• Bioinformatics
• Clinical Informatics
• Translational Research

Job areas

• Data & Analytics
• Healthcare
• Technology
• Science & Research
• Management & Leadership

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