Scientist, Computational Biology
Tasks
- Analyze single cell and multi omic datasets
- Collaborate with experimental teams on study design
- Conduct perturb seq and CRISPR screen analysis
- Develop reusable analysis notebooks dashboards and tools
- Infer gene regulatory networks
- Mentor colleagues and interns
- Model perturbation effects and interactions
- Partner with bioinformatics data infrastructure teams
- Perform trajectory and cell state analysis
- Present findings and contribute to open source projects
- Visualize and interpret predictive model datasets
Perks/Benefits
- Mentorship opportunities
- Onsite work in Palo Alto office
- Open-science culture
- Opportunity to contribute to preprints and open source projects
Skills/Tech-stack
ATAC sequencing | Batch correction | CRISPR screens | Cell State Analysis | Cloud Computing | Data Analysis | Data Visualization | Dimensionality Reduction | Gene Regulatory Network | Gene regulatory network inference | High Performance | High-Performance Computing | Interaction modeling | Multiome sequencing | Network inference | Performance Computing | Perturb-seq | Perturbation effect modeling | Python | RNA Sequencing | Reproducible Workflows | Single cell ATAC sequencing | Single-cell | Single-cell RNA-sequencing | Trajectory analysis | Version control
Education
Regions
Countries
States
Cities
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