Fall Co-Op, Bioinformatics OTS

Boehringer Ingelheim is currently seeking a talented and innovative Co-Op to join our Oncology Translational Science department located at our Ridgefield facility. As an Co-Op, you will be deeply involved in assisting with the accomplishment of our goal of identifying patient selection biomarker for our cancer immunology portfolio programs.

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.

Duties & Responsibilities

• Lead the effort to develop a workflow for accurate processing of our multiplex immunofluorescence image data.
• Benchmark test modern algorithms to better understand spatial organization and crosstalk of tumor and the microenvironment in response to our mono- and combinatory therapeutic strategies.
• Apply aforementioned items towards our current Biomarker projects to gain more thorough biological insights/understanding on spatial mechanism of tumor progression and response/resistance to therapy.

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, e.g., Bioinformatics, Computational Biology, Biomedical Engineer, Molecular Biology, etc.
Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Desired Experience, Skills and Abilities:

• Strong understanding of multi-dimensional ‘Omics’ data and modern approaches of data processing and integration
• Excellent programming skill in scientific languages such as R or Python
• Extensive experience applying ML techniques to large scale datasets
• Problem-solving skills, creative thinking, and ability to think and tackle problems independently

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