Scientist - Machine Learning, Cheminformatics and Drug Design

Bristol-Myers Squibb

Princeton, NJ

Full Time

Mid Level

13 days ago

Job Description

About the Role

We seek an enthusiastic and team-oriented scientist to join our Cheminformatics and Machine Learning Team at Bristol Myers Squibb. This individual will contribute to small molecule discovery projects that advance drug candidates, from hit identification through candidate nomination. The role involves applying machine learning methods to drive chemical structure optimization within therapeutic projects and disseminating successful approaches across the computational chemistry department. The position offers an exciting opportunity to combine physics-based modeling with data analytics and machine learning to accelerate drug discovery and benefit patients.

Key Responsibilities

Applying machine learning methods to drive chemical structure optimization within therapeutic projects.
Disseminating successful approaches across the computational chemistry department to enable uptake and impact on several discovery projects.
Performing key research activities related to small molecule discovery and drug candidate advancement.

Requirements

Ph.D. and no experience required, OR Master's Degree with 3+ years of academic / industry experience, OR Bachelor's Degree with 5+ years of academic / industry experience.
Experience in machine learning or artificial intelligence work is critical.
Proficiency in programming and scripting languages such as Python, C/C++, and/or R.
Expertise in machine learning and cheminformatics libraries such as PyTorch, TensorFlow, Keras, Pandas, Scikit-Learn, DeepChem, RDKit or OEchem.
Sufficient understanding of chemistry and ability to communicate with scientists from diverse backgrounds.
Ability to operate in a multidisciplinary environment and collaborate across functional teams.
An aptitude and desire to learn and apply new techniques.
Excellent communication skills.
Track record of publications in peer-reviewed scientific journals.

Nice to Have

Expertise in generative molecular design with applications to therapeutic projects.
Postdoctoral or industry experience in relevant fields.
Experience in cheminformatics, computational chemistry, and/or molecular modeling.
Experience in the critical assessment of experimental data and applying data knowledge to develop predictive models.

Qualifications

Educational background including Ph.D., Master's, or Bachelor's degrees as specified in requirements.

Benefits & Perks

Competitive benefits, services, and programs that support work-life balance and personal goals.

Working at Bristol-Myers Squibb

Bristol Myers Squibb promotes a supportive culture that values passion, innovation, urgency, accountability, inclusion, and integrity. Employees are empowered to apply their talents and perspectives in a collaborative environment, with a focus on transforming patients' lives through science.

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