Computational Scientist, Protein Engineering
Tasks
- Analyze and interpret phage display and yeast display data
- Build data pipelines for dataset analysis and reporting
- Collaborate on high throughput experiments
- Design quantitative protein engineering assays
- Develop shared code libraries for protein design tasks
- Document findings and share results
- Improve antibody library design workflows
- Perform data analysis and hit calling
- Produce data reporting for cross functional teams
Perks/Benefits
- 401k plan
- Annual performance bonus
- Commuter support
- Comprehensive medical/dental/vision coverage
- Flexible paid time off
- Onsite gym
- Onsite lunch
- Stock options
Skills/Tech-stack
AWS | Antibody engineering | Cloud Computing | Containerization | DNA library design | Data pipeline | GCP | High Throughput | High Throughput Screening | Library design | Machine Learning | Massively parallel reporter assays | Next-Generation Sequencing | Protein Engineering | Python | Reporter assays | Statistics | Test-Driven | Test-Driven Development | Unix | Version control
Education
Roles
Regions
Countries
States
Cities
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