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Compensation Data

This position offers an hourly rate of $24.00 - $33.00 USD / hour commensurate to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards) .

Description

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 several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The non-clinical drug safety department is seeking a talented and self-motivated bioinformatics summer intern to join our Early Safety Immunology group located at our Ridgefield, CT facility. The successful candidate will work with a cross-functional team of scientists and computational biologists to analyze and interpret single cell transcriptomic data to facilitate drug safety evaluations.

Duties & Responsibilities

+ Develop and execute bioinformatics pipelines to analyze various types of single cell transcriptomics data from multiple preclinical species with guidance

+ Perform cross-species integrative analyses

+ Interpret and communicate methods and results of complex data analyses

+ Build a database/platform for data sharing and enable automatic queries

+ Document and report code and analysis methods

+ Work in a multidisciplinary global team in a matrixed environment

+ Present project at the end of the internship in both a poster and oral presentation

Requirements

+ Must be a current graduate or advanced degree student in good academic standing.

+ Student must be enrolled at an accredited 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 (i.e.: Bioinformatics, Computational Biology, Molecular Biology, Genomics, Toxicology or related field).

+ Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

+ Experience coding using R and/or Python through either coursework or research experience

+ Experience working in an HPC or cloud computing environment, including experience with SLURM and bash scripting

+ Familiarity with single cell transcriptomics computational tools including cellranger, Seurat and/or scanpy

+ Familiarity with machine learning and neural networks

+ Excellent oral and written communication skills; highly organized and efficient record keeping

+ **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.

**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.

Desired Skills, Experience and Abilities

+ _Unique to each individual internship_

+ _Unique to each individual internship_

+ _Unique to each individual internship_

+ _Unique to each individual internship_

All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.