Computational Biology Intern
TRexBio is harnessing the power of tissue-resident immune cells to create new therapies for autoimmune diseases and cancer. We are seeking talented interns to join our Computational Biology group for 12 or more weeks. You will work part- or full-time with an interdisciplinary team of biologists, immunologists, and computational scientists to address challenging problems in single-cell RNA profiling, in vitro immune cell biology, and predictive modelling. Potential projects, which will be decided based on your background and interests, will introduce or deepen your knowledge of single-cell RNA sequencing, immunology, statistics, cloud computing, bioinformatics, and machine learning.
We value a wide variety of experience from both computational and wet lab sciences. The ideal candidate will be interested in computational method development for single-cell immunology, drawing on training in data science, statistics, and/or bioinformatics. Knowledge of molecular biology is desirable but less essential than a high degree of curiosity and ability to thrive in a new field. We greatly value the ability to communicate complex scientific ideas clearly and work well in a team environment. While we welcome candidates from a broad range of backgrounds, programming skills are a must, and any prior experience combining computational tools with high-throughput biology is a plus.
TRexBio is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
- 12+ weeks of part- or full-time work; duration flexible, dependent on individual project scope
Opportunities for long-term employment
- Possible following internship
- Current graduate student
- Some statistics, computer science, or biology coursework, and/or relevant experience
- Proficiency in R or Python
- Strong written and verbal communication skills
- Track record of collaboration
- scRNAseq or RNAseq analysis
- Familiarity with Linux shell
- Cloud computing (especially AWS)
- Immunology coursework or research experience
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