Precision Medicine Data Lead

Alignerr; Deutschland; Remote; EUR 83,000 - 179,000; Part time

Benefits offered by this job

Fully remote

Freelance autonomy

Contract extension opportunities

Job summary

Alignerr is seeking a Precision Medicine Data Lead to design and oversee data pipelines that unify genomics, clinical records, biomarkers, and other healthcare data for AI training in personalized medicine.

This fully remote contract role offers flexible 10–40 hours/week and collaboration with clinicians, researchers, and engineers to ensure data quality, governance, and regulatory alignment. You will contribute to AI model development powering clinical insights.

Qualifications

• Experience working with large-scale healthcare/genomics datasets in analytics or data leadership roles.
• Strong data governance and regulatory familiarity across healthcare datasets.
• Ability to translate complex data into actionable insights for clinical or scientific audiences.

Responsibilities

• Design, oversee, and optimize data pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
• Lead analytical strategies that transform complex, integrated 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 strategic coherence.
• Communicate complex findings clearly to both scientific and non-technical stakeholders.
• Apply data governance expertise to ensure compliance and integrity across regulated datasets.
• Contribute to the development of cutting-edge AI models by providing domain guidance on healthcare and genomic data.

Skills

Genomics data analytics

Healthcare data governance

Data integration

Regulatory compliance

Stakeholder communication

Job description

Precision Medicine Data Lead (AI Training)

What if your expertise in genomic and clinical data could directly shape how AI understands and advances personalized medicine for patients around the world? We're looking for a Precision Medicine Data Lead to bring together complex healthcare datasets, drive analytical strategy, and help build the AI systems that will power the next generation of clinical research and treatment.

This is a fully remote, flexible contract role built for experienced data professionals in genomics, life sciences, or healthcare analytics who want to work at the cutting edge of 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 healthcare data into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
• Collaborate cross-functionally with clinicians, researchers, and technical teams to ensure data quality, regulatory alignment, and strategic coherence
• Communicate complex findings clearly to both scientific and non-technical stakeholders
• Apply expertise in data governance to ensure compliance and integrity across highly regulated datasets
• Contribute to the development of cutting-edge AI models by providing domain-level guidance on healthcare and genomic data

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 datasets into meaningful insights for clinical or scientific audiences
• Comfortable collaborating with clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented, methodical, and confident making decisions that affect data quality and research outcomes
• Able to work independently and asynchronously across a flexible, remote schedule

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI model training workflows or large language model (LLM) evaluation
• Background in bioinformatics, translational research, or clinical informatics
• Experience communicating data strategy to executive or interdisciplinary audiences

Why Join Us

• Work on cutting-edge AI projects alongside leading research labs and AI teams
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact work
• Make a direct contribution to AI systems that could reshape how medicine is practiced and personalized at scale
• Exposure to advanced LLMs and the real-world processes behind how they are trained
• Potential for ongoing work and contract extension as new projects launch