Web-atrio
Senior Scientist, Machine Learning, Molecular Discovery
Web-atrio, San Diego, California, United States, 92189
Senior Scientist, Machine Learning, Molecular Discovery
Status: ArchivedCompany: Bristol Myers SquibbLocation:Expiration: 2023-08-01How to Apply:
Apply HereJob Description
Working 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.OverviewWe seek an enthusiastic and team-oriented machine learning scientist to join our Predictive Sciences team. This individual will contribute to our growing effort to apply cutting-edge AI/ML techniques toward the development of novel, small-molecule therapies.You will be a valued member on a cross-functional team that seeks to continuously improve the process by which novel compounds are rationally designed and experimentally evaluated. The successful candidate will perform key research activities, including:Developing and implementing machine learning models to predict attributes of therapeutic compounds.Leveraging active machine learning approaches to guide experimental discovery activities focused on exploring vast chemical space.Driving
in silico
design of novel molecular therapies through generative modeling approaches.This individual will work as part of a multidisciplinary team that is focused primarily on targeted protein degradation as a therapeutic modality. You will be able to perform pioneering and impactful research alongside computational scientists, experimental biologists, and chemists, as we work towards the discovery and development of new therapies.ResponsibilitiesBuild and apply advanced deep learning models to predict molecular attributes that govern protein degradation, cellular phenotype, and disease state (e.g., using self-supervised learning, large language models, geometric deep learning, or graph neural networks).Leverage AI/ML approaches to guide experimental study design and to steer chemical design efforts towards small molecules with high therapeutic value (e.g., using generative active learning, reinforcement learning, autonomous discovery).Analyze chemistry, proteomics, transcriptomics, and other high throughput assay data from internal, public, and partner sources.Collaborate as a member of cross-functional teams to validate
in silico
findings and improve ML workflows.Author scientific reports, and present methods, results, and conclusions to publishable standard.Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.Basic QualificationsBachelor's Degree with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 7+ years of academic / industry experience.OR Master's Degree with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 5+ years of academic / industry experience.OR PhD with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 2+ years of academic / industry experience.Preferred QualificationsPh.D. with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution.2+ years postdoctoral experience applying computational research approaches in pharma/biotech, university, or hospital environments.Strong experience in applying contemporary deep learning methods, preferably with demonstrated application of either active, generative, graph-based, or geometric deep learning approaches.Expertise in scientific programming languages (e.g., Python, R) and libraries (e.g., PyTorch, Tensorflow), cloud-based computing, and data manipulation.Demonstrated problem-solving skills, adaptability across disciplines, and collaborative nature.Excellent verbal and written communication skills. Verbal and written English language fluency are prerequisite.The starting compensation for this job is a range from $109,000-$150,700, 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 the location where the job is performed. Final individual compensation will be decided based on demonstrated experience.Eligibility for specific benefits listed on our BMS Careers site may vary based on the job and location.On-site ProtocolPhysical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.COVID-19 InformationTo protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment.BMS is dedicated to ensuring that people with disabilities can perform complex functions through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com.
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Status: ArchivedCompany: Bristol Myers SquibbLocation:Expiration: 2023-08-01How to Apply:
Apply HereJob Description
Working 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.OverviewWe seek an enthusiastic and team-oriented machine learning scientist to join our Predictive Sciences team. This individual will contribute to our growing effort to apply cutting-edge AI/ML techniques toward the development of novel, small-molecule therapies.You will be a valued member on a cross-functional team that seeks to continuously improve the process by which novel compounds are rationally designed and experimentally evaluated. The successful candidate will perform key research activities, including:Developing and implementing machine learning models to predict attributes of therapeutic compounds.Leveraging active machine learning approaches to guide experimental discovery activities focused on exploring vast chemical space.Driving
in silico
design of novel molecular therapies through generative modeling approaches.This individual will work as part of a multidisciplinary team that is focused primarily on targeted protein degradation as a therapeutic modality. You will be able to perform pioneering and impactful research alongside computational scientists, experimental biologists, and chemists, as we work towards the discovery and development of new therapies.ResponsibilitiesBuild and apply advanced deep learning models to predict molecular attributes that govern protein degradation, cellular phenotype, and disease state (e.g., using self-supervised learning, large language models, geometric deep learning, or graph neural networks).Leverage AI/ML approaches to guide experimental study design and to steer chemical design efforts towards small molecules with high therapeutic value (e.g., using generative active learning, reinforcement learning, autonomous discovery).Analyze chemistry, proteomics, transcriptomics, and other high throughput assay data from internal, public, and partner sources.Collaborate as a member of cross-functional teams to validate
in silico
findings and improve ML workflows.Author scientific reports, and present methods, results, and conclusions to publishable standard.Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide.Basic QualificationsBachelor's Degree with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 7+ years of academic / industry experience.OR Master's Degree with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 5+ years of academic / industry experience.OR PhD with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution and 2+ years of academic / industry experience.Preferred QualificationsPh.D. with machine learning focus in computer science, bioinformatics, computational chemistry, or a related field from a recognized higher-education institution.2+ years postdoctoral experience applying computational research approaches in pharma/biotech, university, or hospital environments.Strong experience in applying contemporary deep learning methods, preferably with demonstrated application of either active, generative, graph-based, or geometric deep learning approaches.Expertise in scientific programming languages (e.g., Python, R) and libraries (e.g., PyTorch, Tensorflow), cloud-based computing, and data manipulation.Demonstrated problem-solving skills, adaptability across disciplines, and collaborative nature.Excellent verbal and written communication skills. Verbal and written English language fluency are prerequisite.The starting compensation for this job is a range from $109,000-$150,700, 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 the location where the job is performed. Final individual compensation will be decided based on demonstrated experience.Eligibility for specific benefits listed on our BMS Careers site may vary based on the job and location.On-site ProtocolPhysical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.COVID-19 InformationTo protect the safety of our workforce, customers, patients and communities, the policy of the Company requires all employees and workers in the U.S. and Puerto Rico to be fully vaccinated against COVID-19, unless they have received an exception based on an approved request for a medical or religious reasonable accommodation. Therefore, all BMS applicants seeking a role located in the U.S. and Puerto Rico must confirm that they have already received or are willing to receive the full COVID-19 vaccination by their start date as a qualification of the role and condition of employment.BMS is dedicated to ensuring that people with disabilities can perform complex functions through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request an accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com.
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