Remote Precision Medicine Data Lead for AI Training

Alignerr Corp.; France; Remote; EUR 74.000 - 147.000; Teilzeit

Zusammenfassung

Alignerr is seeking a Precision Medicine Data Lead to shape AI training with genomic and clinical data. This is a fully remote, hourly contract role offering 10-40 hours per week.

You set your schedule and contribute to projects at the intersection of data science and transformative medical research. You design and oversee data pipelines, govern data quality, and collaborate with clinicians and researchers to align data strategy with regulatory standards.

Qualifikationen

• Experience leading analytics on large healthcare/genomics datasets.
• Strong data integration and governance capabilities.
• Ability to translate data into actionable scientific insights.

Aufgaben

• 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.

Kenntnisse

Healthcare data leadership

Data integration

Data governance

Analytics leadership

Tools

HL7

FHIR

Jobbeschreibung

Alignerr is seeking a Precision Medicine Data Lead to shape AI training with genomic and clinical data. This is a fully remote, hourly contract role offering 10-40 hours per week.

You set your schedule and contribute to projects at the intersection of data science and transformative medical research. You design and oversee data pipelines, govern data quality, and collaborate with clinicians and researchers to align data strategy with regulatory standards.