Associate Director, Cheminformatics Machine Learning & Artificial Intelligence

$178,000 - $220,000/Yr

Bristol-Myers Squibb - San Diego, CA

Full-time - Senior

Hybrid - San Diego, CA

Chemical Manufacturing

About the position

The Associate Director of Cheminformatics Machine Learning & Artificial Intelligence at Bristol Myers Squibb is a pivotal role that combines scientific leadership with cutting-edge technology to accelerate drug discovery. This position is designed for an exceptional scientific leader who is passionate about utilizing artificial intelligence and machine learning in molecular design. The selected candidate will leverage advanced techniques to enhance the drug discovery process, from hit identification through candidate nomination, and will actively engage in therapeutic projects. In addition to hands-on project involvement, the Associate Director will lead a small team of computational scientists and participate in various matrix teams across the organization. A broad knowledge of modern data science methods, particularly in machine learning, is essential to advance multi-objective molecular design efforts. The ideal candidate will possess expertise in generative molecular design and a comprehensive understanding of drug discovery processes, along with the ability to communicate effectively with scientists from diverse backgrounds. The role is situated within a research team known for its impactful contributions across multiple therapeutic areas and modalities. The successful candidate will have the opportunity to integrate physics-based modeling with data analytics and machine learning, ultimately aiming to accelerate drug discovery and deliver meaningful benefits to patients. This position not only offers the chance to work on innovative projects but also to contribute to a culture that values diversity, collaboration, and scientific excellence.

Responsibilities

• Lead a small team of computational scientists in the Cheminformatics team.
• Utilize artificial intelligence and machine learning techniques to accelerate the drug discovery process.
• Participate directly in therapeutic projects from hit identification through candidate nomination.
• Collaborate with disease area experts in Thematic Research Centers to enhance drug discovery efforts.
• Integrate modern data science methods with a focus on machine learning to advance molecular design.
• Communicate effectively with scientists from various disciplines to foster collaboration and innovation.

Requirements

• Bachelor's Degree with 12+ years of academic/industry experience, or a Master's Degree with 10+ years, or a PhD with 8+ years of experience.
• 4+ years of leadership experience in a relevant field.
• Broad knowledge of modern data science methods, particularly in machine learning.
• Expertise in generative molecular design and its 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.

Nice-to-haves

• Ph.D. with a focus on Artificial Intelligence or Machine Learning development and applications to molecular design.
• Postdoctoral or industry experience in relevant fields.
• Experience in pharmaceutically relevant computational chemistry and/or molecular modeling.
• A track record of publications in peer-reviewed scientific journals.

Benefits

• Medical, pharmacy, dental and vision care.
• Wellbeing support through the BMS Living Life Better program and employee assistance programs (EAP).
• Financial well-being resources including a 401(K).
• Short- and long-term disability insurance, life insurance, and supplemental health insurance.
• Paid national holidays and optional holidays, Global Shutdown days between Christmas and New Year's holiday.
• Up to 120 hours of paid vacation and up to two paid days to volunteer.
• Sick time off and summer hours flexibility.
• Parental, caregiver, bereavement, and military leave.
• Family care services including adoption and surrogacy reimbursement, fertility/infertility benefits, and support for traveling mothers.
• Tuition reimbursement and a recognition program.