Computational Biology and Digital Sciences - Co-Op - Remote

Boehringer Ingelheim is currently seeking a talented and innovative Co-Op to remotely join our global Computational Biology and Digital Sciences (gCBDS) department. As a Co-Op, you will contribute to data analysis that will help us discover new therapies for inflammatory diseases. Under the guidance of a Senior Scientist, you will assist with the analysis and integration of large multi-omics datasets such as bulk RNA-seq, single cell RNA-seq or proteomics to improve our understanding of disease mechanisms and to identify potential novel targets that may lead to the development of better treatments.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

Remote*: This position is considered remote based

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
• Assist with interpretation of results
• Communicate results within the gCBDS department and to biologists in the therapeutic area

Requirements

• Must be a current undergraduate, graduate or advanced degree student in good academic standing.
• Student must be enrolled at a college or university for the duration of the internship.
• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred.
• Major or minor in related field of internship
• Undergraduate students must have completed at least 12 credit hours at current college or university.
• Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Desired Experience, Skills and Abilities:

• Experience programming in R and Python, including the ability to write your own scripts
• Completed coursework in biology, especially molecular biology or bioinformatics
• Experience with Unix/command line tools
• Experience dealing with large amounts of data
• 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

Compensation Data

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.