Computational Biologist
Job Summary
Seeking a remote Computational Biologist, the full-time role will lead the analysis of molecular and clinical data for early cancer detection, develop bioinformatics pipelines, and collaborate with cross-functional teams to enhance assay performance.
Key responsibilities
- Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection
- Suggest research hypotheses and execute associated studies in partnership with a multidisciplinary team
- Develop bioinformatics pipelines for high throughput NGS data processing and analysis
Required qualifications
- PhD degree in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field
- Experience in NGS assay and pipeline development with a track record of implementing complex workflows
- Strong quantitative reasoning and data analysis skills applicable to scientific problems
- Proficient in programming with Python statistical packages or equivalents in other languages like R
- Ability to work collaboratively in a cross-functional team environment
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