Principal Scientist - Cheminformatics

Key Skills

Aartificial intelligence, C Programming, C++, Data science techniques, Keras software library, Machine learning techniques, Pandas, Python Programming, PyTorch, R Programming, TensorFlow, Transformer

Job Description

Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

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. Read more: careers.bms.com/working-with-us.

When you join BMS, you are joining a diverse, high-achieving team united by a common mission. 

Bristol Myers Squibb encompasses a broad range of disciplines to enable a robust pipeline of drug candidates aimed at serious diseases. Chemistry is a core capability in Small Molecule & Drug Discovery with innovative scientists working in medicinal chemistry, radiochemistry, analytical chemistry, and large-scale synthesis. Within SMDD our Lead Discovery and Optimization (LDO) team is responsible for high throughput screening, compound storage and distribution, primary assays to support discovery programs, and compound profiling to explore drug liabilities in vitro. LDO scientists discover and adopt cutting edge assay technologies that utilize state-of-the-art automation to drive speed and efficiency. Our Molecular Structure and Design team embraces novel approaches to computer-aided drug design, machine learning, and structural biology. The integration of these disciplines provides a seamless and highly interactive environment for discovery scientists to learn, develop, and innovate. Working in partnership with our disease area experts in the Thematic Research Centers provides an exciting pathway to discover and deliver medicines to patients in need.

The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the use of artificial intelligence and machine learning for molecular design. In this role, the selected candidate will use cutting edge techniques to accelerate the drug discovery process from hit identification through candidate nomination and will actively participate directly on therapeutic projects.

The scientist must have a broad knowledge of modern data science methods with an emphasis on machine learning to advance multi-objective molecular design efforts. The successful candidate must have a sufficient understanding of chemistry and the ability to communicate with collaborative scientists from a broad array of backgrounds. Key objectives for this position will be to identify and use machine learning methods to drive chemical structure optimization within the context of therapeutic projects, and to enable other scientists within the team to benefit from those tools and methods in their projects.

The selected candidate will join a research team with a track record of pipeline impact across modalities and across therapeutic areas. This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.

Basic Qualifications:

Bachelor’s Degree with 8+ years of academic / industry experience

Or

Master’s Degree with 6+ years of academic / industry experience

Or

Ph.D. and with 4+ years of academic / industry experience

Preferred Qualifications:

Ph.D. with 4+ years of relevant fields with a focus in Artificial Intelligence or Machine Learning development and applications to molecular design. Postdoctoral or industry experience a plus.

Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus.

Proficiency in programming and scripting languages such as Python, C/C++, and/or R etc.

Expertise in a subset of machine learning and cheminformatics libraries, such as TensorFlow, Kera’s, PyTorch, Pandas, Scikit-Learn, DeepChem, RDKit or OEchem is essential.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.