Scientist - Cheminformatics (Machine Learning/AI)

$97,000 - $135,300/Yr

Disability Solutions - San Diego, CA

Full-time - Mid Level

San Diego, CA

Administrative and Support Services

About the position

At Bristol Myers Squibb, we are committed to transforming patients' lives through science. Our work is not just about the tasks we perform; it is about the impact we have on the lives of patients and the careers of our employees. The Cheminformatics team is seeking an exceptional scientist who is passionate about utilizing artificial intelligence and machine learning in molecular design. This role involves leveraging cutting-edge techniques to accelerate the drug discovery process, from hit identification through candidate nomination, and actively participating in therapeutic projects. The successful candidate will have a broad knowledge of modern data science methods, particularly in machine learning, to advance multi-objective molecular design efforts. In this position, you will be responsible for identifying and employing machine learning methods to optimize chemical structures within the context of therapeutic projects. You will also enable other scientists within the team to benefit from these tools and methods in their projects. The role requires a sufficient understanding of chemistry and the ability to communicate effectively with collaborative scientists from diverse backgrounds. You will join a research team with a proven track record of pipeline impact across various modalities and therapeutic areas, combining physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefits to patients. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services, and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Our diverse, high-achieving team is united by a common mission, and we encourage you to apply even if your experience doesn't perfectly align with the job description. You could be one step away from a career that transforms your life and the lives of others.

Responsibilities

• Utilize artificial intelligence and machine learning techniques to accelerate the drug discovery process.
• Participate directly in therapeutic projects from hit identification through candidate nomination.
• Identify and implement machine learning methods for chemical structure optimization.
• Collaborate with scientists from various backgrounds to enhance project outcomes.
• Develop and apply suitable machine learning algorithms to produce meaningful predictive models.
• Contribute to the integration of cheminformatics and computational chemistry in drug design efforts.

Requirements

• Bachelor's Degree with 5+ years of academic/industry experience, or Master's Degree with 3+ years of academic/industry experience, or Ph.D. with no experience required.
• Broad knowledge of modern data science methods, particularly in machine learning.
• Experience in generative molecular design with applications to therapeutic projects.
• Proficiency in programming and scripting languages such as Python, C/C++, and/or R.
• Expertise in machine learning and cheminformatics libraries such as TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn, DeepChem, RDKit, or OEchem.
• Strong critical assessment skills for experimental data and the ability to combine different data sets.

Nice-to-haves

• Ph.D. with 0-2+ years of relevant experience focusing on Artificial Intelligence or Machine Learning applications in molecular design.
• Postdoctoral or industry experience in machine learning or artificial intelligence is a plus.
• Experience in cheminformatics, computational chemistry, and/or molecular modeling.

Benefits

• Competitive salary and incentive cash and stock opportunities.
• Comprehensive health insurance coverage.
• Flexible work environment with options for hybrid work models.
• Support for ongoing education and professional development.
• Diversity and inclusion programs to promote a collaborative workplace.