Precision Medicine Data Lead

Alignerr Corp.

France

Remote

EUR 83,000 - 131,000

Part time

15 hours ago
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Benefits offered by this job

Fully remote
Flexible schedule
Freelance autonomy

Job summary

Alignerr is seeking a Precision Medicine Data Lead to shape AI training for personalized medicine. This fully remote hourly contract role lets you set your schedule while guiding data strategies across genomic, clinical, and biomarker datasets.

You will collaborate with clinicians, researchers, and tech teams to ensure data governance, regulatory alignment, and scientifically rigorous data for AI models used in healthcare insights.

Qualifications

  • Experience handling large-scale healthcare, genomic, or life sciences data.
  • Experience in analytics leadership within regulated environments.
  • Ability to translate complex data into actionable clinical insights.
  • Knowledge of data governance and data quality standards.
  • Ability to work asynchronously and set own schedule.

Responsibilities

  • Design, oversee, and optimize data pipelines integrating genomic, clinical, biomarker datasets.
  • Lead analytical strategies translating datasets into insights for precision medicine and clinical decision support.
  • Evaluate AI outputs for accuracy, clinical relevance, and scientific integrity.
  • Collaborate with clinicians, researchers, and technical teams to align data strategy with goals and regulatory standards.
  • Communicate findings to scientific and non-technical stakeholders.
  • Apply data governance and quality assurance to health datasets.

Skills

Data governance
Data integration
Healthcare analytics
Analytics leadership
Regulated environments
Cross-functional work
Clinical data interpretation
Asynchronous work

Tools

HL7
FHIR
EHR systems

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 worldwide? We're looking for a Precision Medicine Data Lead to bring domain-level insight to cutting-edge AI projects — helping ensure that the models influencing the future of healthcare are built on rigorous, well-governed, and clinically meaningful data.

This is a fully remote, flexible contract role designed for experienced professionals in healthcare analytics, genomics, or life sciences data. You set your own schedule and work on projects that sit at the intersection of data science and transformative medical research.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design, oversee, and optimize pipelines that integrate genomic, clinical, biomarker, and other healthcare datasets into unified analytics platforms
  • Lead analytical strategies that translate complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
  • Evaluate AI-generated outputs within healthcare and life sciences contexts for accuracy, clinical relevance, and scientific integrity
  • Collaborate with clinicians, researchers, and technical teams to align data strategy with research goals and regulatory standards
  • Communicate findings and recommendations clearly to both scientific and non-technical stakeholders
  • Apply expertise in data governance and quality assurance to maintain the highest standards across sensitive health datasets
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 capable of maintaining high quality standards independently
  • Self-motivated and reliable when working asynchronously on your own schedule
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, computational biology, or clinical informatics
  • Experience working in or alongside regulated healthcare environments
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 how AI understands and advances personalized medicine
  • Gain exposure to advanced large language models and how they are trained on domain-specific scientific content
  • Potential for ongoing work and contract extension as new projects launch
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