Principal Scientist, Computational Biology Oncology
Tasks
- Assess disease biology links
- Assess novel technologies
- Collaborate across pharma research and development teams
- Create visualizations
- Deliver biological insights to product teams
- Design quantitative analyses
- Develop best practices
- Develop quantitative analysis validity
- Educate product teams on tumor vulnerabilities
- Evaluate biomarker hypotheses from clinical specimens
- Evaluate therapeutic hypothesis evidence
- Execute quantitative analyses
- Identify biomarkers
- Identify novel targets
- Integrate multi-omics data
- Interpret quantitative analyses
- Propose patient selection hypotheses
- Propose pharmacodynamic biomarkers
- Provide project guidance
- Support therapeutic lifecycle management
Perks/Benefits
Skills/Tech-stack
Bioinformatics | Biomarker Analysis | CRISPR | ChIP-seq | Clinical trial | Clinical trial analysis | Computational Biology | DNA Sequencing | Data Analysis | Data Visualization | Data integration | Imaging Analysis | Methylation analysis | Pharmacodynamic biomarker analysis | Proteomics | Python | Quantitative Analysis | R | RNA Sequencing | Single cell data | Single-Cell Data Analysis | Single-cell | Statistics | Trial Analysis
Education
Regions
Countries
States
Cities
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