Design and scale data pipelines and algorithmic workflows to process NGS and multi-omic datasets, analyze population genetics to identify biomarkers, and collaborate with wet-lab scientists to validate findings.
- The Team You Will Join: The Computational Biology and R&D division translates massive multi-omic biological datasets into actionable drug discoveries and therapeutic insights.
- The Opportunity: Seeking a Bioinformatics Scientist to construct, deploy, and scale data pipelines for genomic and proteomic mapping.
- Key Responsibilities:
- Build custom algorithmic workflows to process Next-Generation Sequencing (NGS) data.
- Interpret large-scale population genetics datasets to identify novel target biomarkers.
- Partner with wet-lab research scientists to validate statistical hypotheses.
- Required Qualifications: Ph.D. or Master’s in Bioinformatics, Computational Biology, or Computer Science; strong coding fluency in Python or R; familiarity with cloud architectures (AWS/GCP).
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