Global Computational Biology and Digital Sciences Co-Op

Description

Boehringer Ingelheim is currently seeking a talented and innovative Co-Op to join our Global Computational Biology and Digital Sciences department located at our Ridgefield, Connecticut facility. As a Co-Op, you will work with our Data and Infrastructure team build out one of our data resources for OMICs data. You will get hands on

experience working with knowledge graphs and relational databases, designing and building API calls, and testing these methodologies in the scope of drug discovery.

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 ouremployees.

Duties &

Responsibilities

Assist with implementing FAIR principles as part of data process data resources for omics-data

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

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.

Onsite/Flex*: This position is site based with flexibility for remote working. Working onsite a minimum of 2-3 days per week is required. Remote working norms will be clarified during the interview process.

Desired

Experience,

Skills And Abilities

Experience coding in at least one object oriented language – Python, Java, C++, etc.

Completed coursework in software development, bioinformatics or molecular biology

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

Compensation Data

This position offers an hourly rate typically between $20/ hour and $33/ hour commensurate to the level of degree program in which an applicant is actively enrolled. For an

overview of our

benefits please click here.

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