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Digital Innovation Biotherapeutics Research Co-Op
- Boehringer Ingelheim (Ridgefield, CT)
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Description
Are you passionate about applying digital technologies to transform the discovery and development of novel biotherapeutics? Do you want to work in a collaborative and innovative environment with a global leader in human and animal health? If so, you might be the ideal candidate for the Digital Innovation Intern in biotherapeutics department at Boehringer Ingelheim.
As a Digital Innovation Intern, you will join the Biotherapeutics department and work on a project that leverages digital tools and platforms to enhance the efficiency and quality of biotherapeutic research. You will have the opportunity to learn from experienced scientists and engineers, and contribute to the digital transformation strategy of the department. You will also gain exposure to the diverse and exciting portfolio of biotherapeutic modalities, such as antibodies, proteins, and gene therapies in support of new biological entities (NBEs) for BI's worldwide development pipeline.
Duties & Responsibilities
• Work on a project that applies digital solutions to a specific challenge or opportunity in biotherapeutic research, such as data management, analysis, visualization, automation, or integration.
• Collaborate with cross-functional teams of scientists, engineers, and IT specialists to define the project scope, objectives, and deliverables.
• Conduct literature review, market research, and benchmarking to identify and evaluate existing or emerging digital technologies and platforms.
• Design, develop, test, and implement digital and automation solutions using appropriate tools and methodologies, such as programming languages, databases, cloud services, web frameworks, etc.
• Document and communicate the project results, outcomes, and recommendations to relevant stakeholders and audiences.
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:
• Currently enrolled in program focusing in bioinformatics, computer science, engineering, or a related field
• Demonstrated interest and experience in applying digital technologies to life sciences, biotechnology, or pharmaceutical research,
• Proficient in one or more programming languages, such as Python, R, Java, C#, etc.
• Familiar with data structures, algorithms, and software engineering principles and practices.
• Knowledgeable of common digital tools and platforms for data management, analysis, visualization, automation, or integration, such as SQL, NoSQL, AWS, Azure, Tableau, Power BI, KNIME, etc.
• Working knowledge of Agile tools like JIRA
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment.
• Curious, creative, and eager to learn and innovate.
Desired Skills, Experience and Abilities
This position offers an hourly rate of $20 to $33 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)
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.
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