COMPANY DECK
WHAT ARE WE LOOKING FOR
We’re building a new kind of drug company, one where aging is treatable, resilience is restorable, and the limits of lifespan are pushed by design.
Statistical Geneticist
We're seeking a Statistical Geneticist, Computational Biologist, or Bioinformatics Scientist (expertise in deep learning applications in functional genomics is a plus). You'll advance our target discovery platform by working with large-scale population genetics datasets, multi-omics data, and AI models to identify therapeutic targets and speed up our drug discovery pipeline.
- Data management & preprocessing: Handle tabular data, genetics data (plink format), GWAS sumstats, molQTL.
- Statistical Genetics: Conduct WGS/WES common and rare variant association studies, followed by post-GWAS integration using colocalization, mendelian randomization, and multi-omics (transcriptomics/proteomics) analysis.
- Machine Learning: Implement classical ML and deep learning solutions for functional genomics.
- Pipeline development & maintenance: Design, build, and maintain automated analysis pipelines for association studies, ensure code quality.
- Competitive Compensation: Salary packages aligned with industry standards.
- Remote-First: globally remote with flexible hours.
- High-Trust Culture: minimal-bureaucracy environment with complete ownership.
- Immediate Impact: Your contributions will drive our core therapeutic discovery engine from day one.
- Publication Opportunities: Active support for publishing.
To apply please send your CV (indicate the title of the job post in the subject of an e-mail).
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If you think you could be a good fit for the team, please email the Careers team using the link below.
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