Scientist, Cheminformatics - Machine Learning & Artificial Intelligence

Bristol-Myers Squibb - Princeton, NJ

Full-time - Mid Level

Princeton, NJ

Chemical Manufacturing

About the position

Working at Bristol Myers Squibb (BMS) is an opportunity to engage in challenging, meaningful, and life-changing work. The company is dedicated to transforming the lives of patients through innovative drug discovery and development. As a member of the Cheminformatics team, the selected scientist will leverage artificial intelligence (AI) and machine learning (ML) techniques to enhance molecular design and accelerate the drug discovery process. This role involves collaborating with a diverse team of scientists across various disciplines, including medicinal chemistry, computational chemistry, and structural biology, to drive the optimization of chemical structures in therapeutic projects. The Cheminformatics team is at the forefront of integrating cutting-edge technologies into the drug discovery pipeline. The successful candidate will be responsible for employing modern data science methods, particularly in machine learning, to support multi-objective molecular design efforts. This includes identifying and implementing machine learning algorithms that can optimize chemical structures and facilitate the work of other scientists within the team. The role requires a strong understanding of chemistry and the ability to communicate effectively with colleagues from diverse scientific backgrounds. In this position, the scientist will actively participate in therapeutic projects, utilizing their expertise in generative molecular design to contribute to the identification of promising drug candidates. The work environment is multidisciplinary, fostering collaboration and innovation, and the selected candidate will have the opportunity to make a significant impact on the drug discovery pipeline. BMS values integrity, creativity, and a strong work ethic, and seeks individuals who are eager to learn and apply new techniques in their work.

Responsibilities

• Utilize artificial intelligence and machine learning techniques to enhance molecular design.
• Participate in therapeutic projects from hit identification through candidate nomination.
• Identify and implement machine learning methods for chemical structure optimization.
• Collaborate with scientists from various disciplines to drive drug discovery efforts.
• Communicate effectively with team members to facilitate the use of machine learning tools in projects.

Requirements

• Bachelor's Degree with 5+ years of academic/industry experience, or a Master's Degree with 3+ years of experience, or a Ph.D. in Chemistry or Computational Chemistry.
• Broad knowledge of modern data science methods with an emphasis on machine learning.
• Expertise in generative molecular design with applications to therapeutic projects.
• Proficiency in programming and scripting languages such as Python, C/C++, and/or R.
• Experience with machine learning and cheminformatics libraries such as TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn, DeepChem, RDKit, or OEchem.
• Ability to critically assess experimental data and incorporate data knowledge into machine learning algorithms.

Nice-to-haves

• Ph.D. with 0-2+ years of relevant experience in AI or ML development for molecular design.
• Postdoctoral or industry experience in cheminformatics or computational chemistry.
• Experience in a multidisciplinary environment and willingness to collaborate across teams.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• Flexible work environment with options for hybrid work models.