Sr. Scientist - Cheminformatics Scientific Systems Engineer

Key Skills

Aartificial intelligence, C Programming, C++, Cheminformatics, Data science techniques, Drug Discovery, Keras software library, Machine learning techniques, Pandas, Python Programming, PyTorch, TensorFlow, User support and Troubleshooting

Job Description

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. 

BMS 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.

Here, you’ll get the chance to grow and thrive through opportunities that are uncommon in scale and scope. You’ll pursue innovative ideas while advancing professionally alongside some of the brightest minds in biopharma.

Our Molecular Structure and Design (MS&D) is looking for a Scientist – Cheminformatics/Scientific Systems Engineer in Drug Discovery to join our team

The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientist with an interest in the intersection of high-performance computing, cheminformatics, data science and scientific python programming. The successful candidate must have broad knowledge of modern data science techniques, Linux, queueing systems, hybrid cloud computing, shell scripting, and python development combined with the scientific background to interface with collaborative scientists from a broad array of backgrounds. 

Key objectives for this position will include:

• the installation, support and lifecycle management of commercial scientific software relevant to computer assisted drug design (CADD),
• supporting our growing portfolio of CADD, Cheminformatics and Machine Learning models deployed to chemists and therapeutic project teams
• the evolution of our high-performance computing infrastructure
• acting as a liaison with our enterprise IT organization.

The selected candidate will join a research team with a track record of pipeline impact across modalities and across therapeutic areas. This is an enabling position and 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 7+ years of academic / industry experience

Or

Master’s Degree with 5+ years of academic / industry experience

Or

PhD with 2+ years of academic / industry experience

Preferred Qualifications:

• Ph.D and 2+ years of relevant fields or industry experience with a focus in high performance computing, machine learning development and applications to molecular design.
• Postdoctoral or industry experience a plus.
• Experience in shell scripting, linux clusters, cloud computing and queueing systems such as Altair Grid Engine is critical.
• Strong troubleshooting skills and excellent communication skills are a must.
• Experience in installing and maintaining a large portfolio of commercial software is a benefit.
• Experience in machine learning or artificial intelligence work is beneficial, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus.
• Proficiency in programming and scripting languages such as Python and/or C/C++.
• Expertise in a subset of machine learning and cheminformatics libraries, such as TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn, DeepChem, RDKit or OEchem is a plus.
• This position will be operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
• An aptitude and desire to learn and apply new techniques is expected as well as personal attributes of integrity, creativity, problem solving, and a strong work ethic.