Biogen, Inc.
Research Fellow, Machine Learning
Biogen, Inc., Cambridge, Massachusetts, us, 02140
The computational science group at Biogen is seeking a creative and self-motivated research fellow to design, develop, and apply new machine learning algorithms for small molecule drug discovery. The Research Fellow role at Biogen is an 18-month position designed to provide a unique opportunity for scientists to gain exposure to drug discovery and development and train in an industry research setting. In this role, you will collaborate across medicinal chemistry to leverage machine learning algorithms for small molecule drug discovery.What You’ll DoYou will join the growing AI/ML group within computational science as a research fellow and participate in cutting-edge research in machine learning and its applications to small molecule drug discovery and design.You will collaborate closely with cross-functional teams across medicinal chemistry to solve complex problems including molecular generation, property optimization, and synthesis accessibility.You will drive publications in scientific journals and machine learning conferences, and present results at internal and external meetings.Qualifications
Who You AreYou are a recent PhD graduate with strong self-motivation and eager to make impactful contributions to drug discovery. You will be expected to stay current with the machine learning literature and apply the latest advances to address drug discovery project challenges.Required Skills/EducationPh.D. in computer science or computational science field.0-2 years of postdoctoral experience.Extensive experience in one of AI/ML fields, such as Large Language Models, Deep Generative Models, Geometric Deep Learning, and related areas.Proficiency in Python and at least one ML framework (PyTorch / TensorFlow).Extensive hands-on coding and actively contribute to platform development.Track record of publications and/or scientific presentations.Should be able to work in a multidisciplinary team.Excellent oral and written communication skills.Preferred SkillsHands-on experience in implementing deep learning models (e.g. Transformers, GNNs, RL).Experience in solving real-world problems using deep learning in a multidisciplinary setting is a strong plus.Experience with cheminformatics toolkits (RDKit/Schrodinger suite, etc.) is desirable.
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Who You AreYou are a recent PhD graduate with strong self-motivation and eager to make impactful contributions to drug discovery. You will be expected to stay current with the machine learning literature and apply the latest advances to address drug discovery project challenges.Required Skills/EducationPh.D. in computer science or computational science field.0-2 years of postdoctoral experience.Extensive experience in one of AI/ML fields, such as Large Language Models, Deep Generative Models, Geometric Deep Learning, and related areas.Proficiency in Python and at least one ML framework (PyTorch / TensorFlow).Extensive hands-on coding and actively contribute to platform development.Track record of publications and/or scientific presentations.Should be able to work in a multidisciplinary team.Excellent oral and written communication skills.Preferred SkillsHands-on experience in implementing deep learning models (e.g. Transformers, GNNs, RL).Experience in solving real-world problems using deep learning in a multidisciplinary setting is a strong plus.Experience with cheminformatics toolkits (RDKit/Schrodinger suite, etc.) is desirable.
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