Job description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Chemical Development department located at our Ridgefield, CT facility. As a Co-op, you will contribute to a team which aims to develop a Pharma 4.0 approach revolutionizing the transfer from laboratory to production using advanced data-rich experimentation and computing technologies.
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:
- Research and Develop state-of-the-art Machine Learning Models for computational chemistry problems
- Develop pipelines to utilize public datasets to improve the performance of the Machine Learning based models and validate models using either public datasets or internally generated data
- Survey literature on deep learning models for the design of small-molecule compounds using graph-based or self-supervised learning approaches
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:
- Strong experience in Python programming
- Strong experience working with cheminformatics packages likes RDkit, MarvinSketch, JChem, DeepChem
- Experience with Generative Models like Variational Autoencoders and/or Transformer architecture
- Familiarity with multivariate modeling, chemometrics modeling, and statistical analysis is a plus
- Able to work in a multidisciplinary team, i.e., chemical engineering, chemistry, analytical chemistry.
- Desire for an excellent understanding of the scientific methodology and good documentation practices, good verbal and written communication skills, and the ability to work across cultures
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.
Who We Are:
At Boehringer Ingelheim we create value through innovation with one clear goal: to improve the lives of patients. We develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family-owned company, we focus on long term performance. We are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture. Learning and development for all employees is key because your growth is our growth.
Want to learn more? Visit boehringer-ingelheim.com and join us in our effort to make more health.
Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA Inc., Boehringer Ingelheim Animal Health Puerto Rico LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; citizenship status, marital, domestic partnership or civil union status; gender, gender identity or expression; affectional or sexual orientation; pregnancy, childbirth or related medical condition; physical or psychiatric disability; veteran or military status; domestic violence victim status; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by applicable federal, state or local law.
Job
- Apprenticeship
Primary Location
- Americas-United States
Organization
- US-BI Pharma/BI USA
Schedule
- Full-time
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