Precision Medicine Data Lead

Alignerr Corp.; United States; Remote; AUD 83,000 - 131,000; Full time

Benefits offered by this job

Fully remote

Freelance autonomy

Flexible schedule

Job summary

Alignerr is seeking a Precision Medicine Data Lead to guide integration, governance, and transformation of complex healthcare datasets for AI training and clinical research. The role is fully remote and contract-based, ideal for leaders in genomics or life sciences data management.

You will collaborate with clinicians, researchers, and engineering teams, ensuring data quality, regulatory compliance, and robust analytics to support next-generation AI models in precision medicine.

Qualifications

• Experience with large-scale healthcare, genomic, or life sciences data in analytics or leadership roles.
• Ability to translate complex data into actionable insights for clinical or scientific audiences.
• Comfort working in regulated or highly technical environments and collaborating with clinical/research teams.

Responsibilities

• Design, oversee, and optimize data pipelines integrating genomics, clinical records, biomarkers, and healthcare datasets into analytics platforms.
• Lead analytical strategies converting multi-modal datasets into insights for precision medicine and clinical decision support.
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor.
• Communicate findings and strategic recommendations clearly to technical and non-technical stakeholders.
• Evaluate and improve AI outputs in healthcare and life sciences contexts.
• Work independently and asynchronously to manage tasks on your schedule.

Skills

Data integration

Data governance

Genomics data

Clinical data analysis

Cross-functional collaboration

Scientific communication

Healthcare analytics

Tools

HL7

FHIR

EHR systems

Data integration platforms

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 the integration, governance, and transformation of complex healthcare datasets — producing insights that power next-generation clinical research and AI model development.

This is a fully remote, flexible contract role built for experienced professionals in healthcare analytics, genomics, or life sciences data leadership. If you've spent your career making sense of complex biological and clinical data, this is your opportunity to apply that expertise at the cutting edge 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 datasets into unified analytics platforms
• Lead analytical strategies that convert complex, multi-modal datasets into actionable insights for precision medicine initiatives and clinical decision support
• Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and scientific rigor
• Communicate findings and strategic recommendations clearly to both technical and non-technical stakeholders
• Apply your domain expertise to evaluate, annotate, and improve AI-generated outputs in healthcare and life sciences contexts
• Work independently and asynchronously — fully 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 background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences
• Comfortable working cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, methodical, and confident communicating complex ideas with clarity
• Self-motivated and reliable when working independently without day-to-day supervision

Nice to Have

• Prior experience with data annotation, data quality evaluation, or AI training workflows
• Familiarity with bioinformatics tools, EHR systems, or clinical data standards (HL7, FHIR, etc.)
• Background in translational research, clinical informatics, or computational biology
• Experience with regulatory frameworks governing health data (HIPAA, GDPR, etc.)

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 problems that sit at the frontier of AI and personalized medicine
• Gain exposure to advanced large language models and how they are trained on scientific data
• Potential for ongoing work and contract extension as new projects launch