Bayer
Principal Machine Learning Scientist
Cambridge,Massachusetts,United States · Principal
Sponsorship not specified$128k-$192kDetected 8 hours ago
PythonAlgorithmsMachine LearningDeep LearningData AnalysisNLPBioinformaticsResearchLeadershipProblem Solving
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
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About the role
- 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'.
- Involves utilizing various techniques, such as random forests, deep learning, and neural networks, to enhance the predictive capabilities of algorithms, particularly in natural language processing and machine perception.
- By continuously refining models and exploring new methodologies, contributes to innovative solutions that leverage machine learning for diverse applications.
Responsibilities
- 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.
- In this role, you are responsible for constructing, studying, and training algorithms that learn from complex, high-dimensional data to uncover patterns and develop practical predictive models and applications.
Requirements
- Ph.D. degree in Computational Chemistry/Biology, Chem/Bioinformatics, Chemical/Biological/Molecular Engineering, or a related field at the intersection of life sciences and computer science;
- Expertise in handling, processing, integrating and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data;
- Demonstrated commitment to scientific rigor, a track record of scientific excellence, strong analytical thinking, and a high degree of self-motivation;
Nice to have
- 5+ years of relevant post-PhD experience, including 2+ years in industry;
- Experience with established, physics-based protein modelling methods like Molecular Dynamics and/or Rosetta;
- Experience in coordinating small, interdisciplinary teams and ability to articulate their impact to managerial stakeholders;
- This posting will be available for application until at least 08/12/2026.
- YOUR APPLICATION|
- To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
- Bayer is an Equal Opportunity Employer/Disabled/Veterans
- Bayer is an E-Verify Employer.|
Compensation
- $128k-$192k
Benefits
- 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.
- Principal Machine Learning Scientist
- Focuses on simulating human learning activities, improving system performance through data analysis, and developing deep learning frameworks and systems that operate independently of explicit programming instructions.
- Contribute to the implementation, validation, and improvement of machine learning tools and software solutions that support drug discovery activities;
Equal opportunity
- Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.|
- Email:| hrop_usa@bayer.com
This listing is sourced directly from Bayer's careers page and normalized into a canonical job model.