Precision Medicine Data Lead

Alignerr; Adelaide; Remoto; AUD 14.000 - 55.000; Tempo pieno

Descrizione del lavoro

Alignerr Corp. seeks a Precision Medicine Data Lead to guide the integration of genomic and clinical datasets into AI training systems. This fully remote hourly contract role offers flexibility and impact on next-generation clinical research.

You will design data pipelines, oversee analytics platforms, and ensure regulatory alignment while collaborating across clinical, research, and engineering teams.

Competenze

• Experience with large-scale genomic, clinical, or life sciences datasets.
• Background in data integration and governance for analytics.
• Ability to translate complex biomedical data into actionable insights.

Mansioni

• Design and oversee pipelines integrating genomic and clinical data into analytics platforms.
• Guide AI training systems to ensure data quality and regulatory alignment.
• Collaborate across clinical, research, and engineering teams.
• Communicate findings to technical and non-technical stakeholders.

Conoscenze

Genomics data

Clinical data

Data integration

Data governance

Analytics leadership

AI training workflows

Strumenti

AI tools

Model training workflows

EHR systems

Biobank data

Descrizione del lavoro

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? We're looking for a Precision Medicine Data Lead to help guide the integration of complex healthcare datasets into the AI systems that will power the next generation of clinical research and treatment strategies.

This is a fully remote, flexible contract role for experienced data professionals with a background in genomics, life sciences, or clinical analytics. If you've spent your career turning complex biological and healthcare data into meaningful insights, this is your opportunity to do it at the frontier of AI.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design, oversee, and optimize pipelines that integrate genomic data, clinical records, biomarkers, and other healthcare datasets into unified analytics platforms
• Lead analytical strategies that transform complex, integrated datasets into actionable insights for precision medicine initiatives and clinical decision support
• Evaluate and guide how AI systems interpret and reason about healthcare and genomic data — identifying gaps, errors, and opportunities for improvement
• Collaborate across clinical, research, and engineering contexts to ensure data quality, regulatory alignment, and scientific rigor
• Communicate complex findings clearly to both technical and non-technical stakeholders
• Apply domain expertise to assess AI-generated outputs for accuracy, clinical relevance, and scientific soundness

Who You Are

• Experienced working with large-scale genomic, clinical, or life sciences datasets in analytics or data leadership roles
• Strong background in data integration, data governance, and translating complex data into meaningful scientific or clinical insights
• Comfortable working cross-functionally across clinical, research, and engineering teams in regulated or highly technical environments
• Detail-oriented with a systematic approach to evaluating data quality and analytical outputs
• Self-motivated and reliable when working independently on asynchronous, task-based assignments

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation systems
• Familiarity with AI tools or model training workflows
• Background in bioinformatics, computational biology, or clinical informatics
• Experience working with EHR systems, genomic sequencing platforms, or biobank datasets

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 your precision medicine expertise to directly shape how AI understands human health
• Potential for ongoing work and contract extension as new projects launch