Senior Scientist, Machine Learning, Molecular Discovery
Company: Web-atrio
Location: San Diego
Posted on: September 25, 2024
Job Description:
Senior Scientist, Machine Learning, Molecular DiscoveryStatus:
ArchivedCompany: Bristol Myers SquibbLocation:Expiration:
2023-08-01How to Apply: Job DescriptionWorking 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.Responsibilities
- Build 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 Qualifications
- Bachelor'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 Qualifications
- Ph.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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Keywords: Web-atrio, San Diego , Senior Scientist, Machine Learning, Molecular Discovery, Other , San Diego, California
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