Bristol-Myers Squibb Company
Scientist - Machine Learning/AI - Cheminformatics )
Bristol-Myers Squibb Company, Princeton, New Jersey, us, 08543
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. 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. We are looking for expertise in generative molecular design with applications to therapeutic projects. 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 5+ years of academic / industry experience
Or
Master's Degree with 3+ years of academic / industry experience
Or
Ph.D. and no experience required
Preferred Qualifications:
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.
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.
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.
#QLR
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.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
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. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Company: Bristol-Myers Squibb
Req Number: R1580931
Updated: 2024-12-02 03:45:29.776 UTC
Location: Princeton-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
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. We are looking for expertise in generative molecular design with applications to therapeutic projects. 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 5+ years of academic / industry experience
Or
Master's Degree with 3+ years of academic / industry experience
Or
Ph.D. and no experience required
Preferred Qualifications:
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.
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.
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.
#QLR
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.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
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. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ (https://careers.bms.com/eeo-accessibility) eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Company: Bristol-Myers Squibb
Req Number: R1580931
Updated: 2024-12-02 03:45:29.776 UTC
Location: Princeton-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.