Bristol-Myers Squibb
Associate Director, Cheminformatics Machine Learning & Artificial Intelligence
Bristol-Myers Squibb, San Diego, California, United States, 92189
Associate Director, Cheminformatics Machine Learning & Artificial IntelligenceWorking with UsChallenging. 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.
The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in 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.
In addition to the hands-on project and portfolio role, the selected candidate will lead a small team of computational scientists and have the chance to participate in and lead several matrix teams across the organization.
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. We are looking for expertise in generative molecular design with applications to therapeutic projects. The successful candidate must have comprehensive knowledge of drug discovery, 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:
Bachelor’s Degree with 12+ years of academic/industry experience
Or Master’s Degree with 10+ years of academic/industry experience
Or PhD with 8+ years of academic/industry experience
With 4+ years of leadership experience
Preferred Qualifications:
Ph.D. with 8+ 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.
4+ years of leadership or people management experience
Experience in machine learning or artificial intelligence and cheminformatics is critical. Pharmaceutically relevant computational chemistry and/or molecular modeling experience a plus.
Proficiency in programming and scripting languages such as Python, C/C++, and/or R.
Expertise in a subset of machine learning and cheminformatics libraries, such as TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn, DeepChem, RDKit or OEchem is essential.
Sensitive to data. Critical assessment of experimental data and combinations of different data sets. Incorporate data knowledge into development and application of suitable machine learning algorithms to produce meaningful predictive models.
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.
Excellent communication skills are a must.
Track record of publications on peer-reviewed scientific journals.
The starting compensation for this job is a range from $178,000 - $220,000 plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. This position will be operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
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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.
The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in 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.
In addition to the hands-on project and portfolio role, the selected candidate will lead a small team of computational scientists and have the chance to participate in and lead several matrix teams across the organization.
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. We are looking for expertise in generative molecular design with applications to therapeutic projects. The successful candidate must have comprehensive knowledge of drug discovery, 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:
Bachelor’s Degree with 12+ years of academic/industry experience
Or Master’s Degree with 10+ years of academic/industry experience
Or PhD with 8+ years of academic/industry experience
With 4+ years of leadership experience
Preferred Qualifications:
Ph.D. with 8+ 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.
4+ years of leadership or people management experience
Experience in machine learning or artificial intelligence and cheminformatics is critical. Pharmaceutically relevant computational chemistry and/or molecular modeling experience a plus.
Proficiency in programming and scripting languages such as Python, C/C++, and/or R.
Expertise in a subset of machine learning and cheminformatics libraries, such as TensorFlow, Keras, PyTorch, Pandas, Scikit-Learn, DeepChem, RDKit or OEchem is essential.
Sensitive to data. Critical assessment of experimental data and combinations of different data sets. Incorporate data knowledge into development and application of suitable machine learning algorithms to produce meaningful predictive models.
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.
Excellent communication skills are a must.
Track record of publications on peer-reviewed scientific journals.
The starting compensation for this job is a range from $178,000 - $220,000 plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. This position will be operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
#J-18808-Ljbffr