Bayer

Machine Learning Research Intern

Bayer  •  Cambridge, MA (Onsite)  •  5 months ago
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Job Description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Machine Learning Research Intern

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role are to:

  • Develop and evaluate state-of-the-art machine learning algorithms applied to chemistry and biology;
  • Work with the Machine Learning Research team to develop and/or evaluate state-of-the-art machine learning algorithms applied to chemistry and biology;
  • Process and analyze chemical and biological datasets;
  • Implement and test machine learning models for (bio)molecular property prediction and optimization;
  • Evaluate different molecular representations in supervised and unsupervised learning tasks;
  • Interact with chemistry, biology, and data science teams to understand how machine learning fits into our R&D operations and how novel solutions can be operationalized;
  • Regularly communicate results and progress to the Machine Learning Research team and other relevant stakeholders.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

  • Actively working towards a Masters or PhD degree in Computer Science, Engineering, Chemistry/Biology, or related technical fields;
  • Interest in research at the interface of computer and life sciences;
  • Have good general knowledge of chemistry and/or biology;
  • Have strong oral, written and presentation skills with ability to explain concepts clearly in lab and small team settings.

Preferred Qualifications:

  • Have Python programming experience;
  • Have experience with data science and/or cheminformatics libraries (e.g., Pandas, Scikit-Learn, Matplotlib, RDKit, OEChem, DeepChem);
  • Have experience with deep learning libraries like PyTorch, TensorFlow, or JAX.

Employees can expect to be paid a salary of approximately between $34.70 to $46.30. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.


YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Science for a better life, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.


Bayer is an E-Verify Employer.
Location: United States : Massachusetts : Cambridge
Division: Pharmaceuticals
Reference Code: 856824
Contact Us
Email: hrop_usa@bayer.com

Bayer

About Bayer

Bayer is a global enterprise with core competencies in the life science fields of healthcare and nutrition. We design our products and services to serve the most essential human needs of health and nutrition. At the same time, we strive to address some of the world’s biggest challenges presented by a growing and aging global population.

At Bayer, we’re committed to driving sustainable development and generate a positive impact with our businesses.

Through the power of science, we’re pioneering new possibilities that advance life for all of us. That means reimagining how we care for ourselves and one another by empowering everyday health, improving approaches to patient care, and finding better ways to nourish our communities around the world.

Data Privacy Statement & Imprint: https://www.bayer.com/en/glob-li-bayer-en-dps-imprint

Industry
Chemicals & Materials
Company Size
10,000+ employees
Headquarters
Leverkusen, DE
Year Founded
Unknown
Website
bayer.com
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