Scientist - Machine Learning, Cheminformatics and Drug Design

Atexo; Princeton (NJ); On-site; USD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a passionate scientist to join their Cheminformatics and Machine Learning Team. This role offers the chance to work on innovative projects that advance drug candidates through the application of cutting-edge machine learning techniques. The successful candidate will contribute to small molecule discovery, utilizing their expertise in data science and chemistry to drive impactful research. With a focus on collaboration and diversity, this position promises a stimulating environment where your contributions can significantly enhance patient outcomes. If you're ready to take your career to the next level, this opportunity is for you!

Benefits

Flexible Work Environment

Competitive Benefits

Diversity Programs

Career Development Opportunities

Qualifications

• Ph.D. or Master's with 3+ years experience in AI or ML for molecular design.
• Experience in cheminformatics and computational chemistry is a plus.

Responsibilities

• Apply machine learning methods for chemical structure optimization.
• Collaborate across teams to enhance drug discovery projects.

Skills

Machine Learning

Data Science

Chemistry Knowledge

Problem Solving

Communication Skills

Education

Ph.D.

Master’s Degree

Bachelor’s Degree

Tools

Python

C/C++

R

PyTorch

TensorFlow

Keras

Pandas

Scikit-Learn

DeepChem

RDKit

Job description

Scientist - Machine Learning, Cheminformatics and Drug Design

Working with Us
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.

We seek an enthusiastic and team-oriented scientist to join our Cheminformatics and Machine Learning Team. This individual will directly contribute to small molecule discovery projects that advance drug candidates – from hit identification through candidate nomination.

The successful candidate will perform key research activities, including:

1. Applying machine learning methods to drive chemical structure optimization within the context of therapeutic projects.
2. Disseminating successful approaches across the computational chemistry department to enable uptake and impact on several discovery 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. Expertise in generative molecular design with applications to therapeutic projects would be beneficial. The successful candidate must have a sufficient understanding of chemistry and the ability to communicate with collaborative scientists from a broad array of backgrounds.

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:

1. 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.

Preferred Qualifications:

1. Ph.D. with 0-2+ 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.
2. Experience in machine learning or artificial intelligence work is critical, with cheminformatics, computational chemistry, and/or molecular modeling experience a plus.
3. Proficiency in programming and scripting languages such as Python, C/C++, and/or R.
4. Expertise in a subset of machine learning and cheminformatics libraries, such as PyTorch, TensorFlow, Keras, Pandas, Scikit-Learn, DeepChem, RDKit or OEchem is essential.
5. Experience in the critical assessment of experimental data. Incorporate data knowledge into development and application of suitable machine learning algorithms to produce meaningful predictive models.
6. This position will be operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
7. 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.
8. Excellent communication skills are a must.
9. Track record of publications in peer-reviewed scientific journals.

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.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.