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 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.

This role is an on-site position 2-3 days per week in our Ridgefield, CT office depending upon business needs. Applicants will need to be located within commuting distance for the duration of the Co-op / Internship.

Before applying please ensure you can commit to the following:

-Expect to be on-site for at least 3 days per week and must be located in the local area for the Co-op.

-You can start on the following dates: Dates are not flexible January 6, January 21 or February 3.

-You can work full-time and for at least 4 months after the start date. We can extend you up to 6 months in total. These are Full time positions only.

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. Rate is dependent upon degree level.

Duties & Responsibilities

• The primary focus of the Data Science Co-0p candidate will be to work with a business team to analyze data sets and design analytical solutions.

• Responsibilities include translating idea to data, data preparation, analysis and modelling, user testing, product development and maintenance.

Requirements

• Must be a current undergraduate, graduate or advanced degree student in good academicstanding.

• Student must be enrolled at a college or university for the duration of theinternship.

• 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 oruniversity.

• Graduate and advanced degree students must have completed at least 9 credit hours at current college oruniversity.

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

• Pursuing BA/BS or MS in Computer Science studies currently, Data Science, or another STEM field.

• Experience with Data Visualization Tools.

• Strong command of Microsoft Excel and PowerPoint.

• Proficient in Python and or R, SQL.

• Experience of distributed computing (Hive/Hadoop) is a plus.

• Understanding of database and analytical technologies in the industry.

• Experience or coursework in machine learning and/or deep learning packages available for R and Python

• Experience working with large and complex healthcare datasets, preferably patient-level longitudinal data and experience with studies of adherence, healthcare utilization, drug abandonment, patient journey, etc.

• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment.

• Ability to collaborate in a team environment and excel working in a VUCA environment.

• Strong oral and written communication skills

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.