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.
Key Responsibilities
- 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.
What We Offer
- 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.
