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python statistics ngs bioinformatics experimental_design📋 Description
- Plan and run development experiments for multiomics cancer tests.
- Collaborate cross-functionally to develop FDA-ready development strategy.
- Apply quantitative methods to develop computational tools for sample collection and detection.
- Design and analyze DV studies; partner with Biostatistics and Development teams.
- Collaborate with molecular and computational research teams on cfDNA IVD assays.
- Drive impact by delivering high-quality cancer screening technologies.
🎯 Requirements
- MS or PhD in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.
- 3+ years industry experience.
- Experience with molecular biology and next-gen sequencing.
- Experimental design and analysis of high-throughput, quantitative technologies.
- Proficiency with bioinformatics tools for molecular assays.
- Data analysis and visualization in R (tidyverse) or Python (NumPy, Pandas) under version control.
🎁 Benefits
- Equity, cash bonuses, and comprehensive medical and other benefits.
- Hybrid work option with 2-3 days onsite in Brisbane, CA.
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