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Company | Tenaya Therapeutics |
Address | San Francisco, CA, United States |
Employment type | INTERN |
Salary | |
Category | Biotechnology Research |
Expires | 2023-06-01 |
Posted at | 1 year ago |
Description
- Developing deep-learning based models to investigate disease-specific biological networks, with the goal of identifying new drug targets and deciphering mechanism of action of currently studied compounds
- Developing machine learning models to investigate functional implications of in-vitro and in-vivo perturbations
- Data visualization and interpretation of biological findings
- Presenting research findings to the team in weekly and monthly meetings
- Proficient in programming (R and/or Python)
- Statistical and problem-solving skills
- Strong interest and experience in machine learning and deep learning
- Currently pursuing B.S., M.S., or Ph.D. degree in computer science, computational biology, bioinformatics, biostatistics, statistics, or related quantitative fields.
- Scientific curiosity and ability to work in a dynamic and fast-paced team-oriented environment
- Eager to gain experience in early-stage drug discovery to learn about the role of systems biology, biological networks, and human genetics in drug target discovery.
- Strong communication skills and ability to present the research findings to the team
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