Job Description:
Duties & Responsibilities: - Assist with data cleanup and processing
- Use computational methods and tools to analyze and integrate transcriptomic, proteomic and other omic data from human subjects to further characterize disease mechanisms and to identify new potential drug targets
- Assist with interpretation of results
- Communicate results within the gCBDS department and to biologists in the therapeutic area
Desired Experience, Skills and Abilities: • Experience programming in R, Python or other coding languages, including the ability to write your own scripts independently • Completed coursework in biology, especially molecular biology or bioinformatics • Experience with Machine Learning and Deep Learning • Experience with Unix/command line tools is a plus • Experience dealing with large amounts of data desirable • Good communication skills • Ability to work independently and as part of a team • Good work ethic, ability to think creatively, and enjoyment of problem solving Requirements: Must be an Undergraduate, Graduate, or Professional Student in good academic standing. Must have completed 12 credit hours within a related major and/or other related coursework. Overall, cumulative GPA (from last completed quarter) must be at least 3.000 (on 4.0 scale) or better (No rounding up). Major must be related to the field of internship. Eligibility Requirements: - Must be legally authorized to work in the United States without restriction.
- Must be willing to take a drug test and post-offer physical (if required).
- Must be 18 years of age or older.
- This position will require individuals to be fully vaccinated against COVID-19 or have an approved medical or religious accommodation. Click here for more information on the vaccine mandate and COVID-19.
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