Scientist Machine learning - Biomolecular Interactions
Company: Disability Solutions
Location: Cambridge
Posted on: April 15, 2024
Job 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. Read more:
careers.bms.com/working-with-us .We seek a collaborative and highly
innovative computational scientist to join our Predictive Sciences
team and develop predictive models using cutting-edge machine
learning/artificial intelligence techniques to discover novel
therapeutic opportunities.This position will work alongside
colleagues in Informatics & Predictive Sciences (IPS), Protein
Homeostasis, Small Molecule Drug Design and other teams in BMS
Research, and play a key scientific role in shaping the future of
our most advanced therapeutic approaches, primarily focusing on
protein degradation, to pursue opportunities beyond the reach of
conventional small molecules. We welcome applications from
candidates who are passionate about learning new drug discovery
paradigms, bringing new medicines to the patients, and comfortable
working in a fast-paced and highly collaborative
environment.Responsibilities:
- Interrogate properties of protein-protein and protein-ligand
interaction surfaces and their molecular representations.
- Develop and apply state-of-the-art artificial
intelligence/machine learning algorithms, including geometric deep
learning and graph-based models, to predict complex biomolecular
interactions and their selectivity.
- Devise AI/ML strategy to predict, or de novo design, small
molecule ligands that enhance complex protein-protein interaction
interfaces.
- Design experiments to elucidate protein interactions at the
molecular level, process and analyze data for model training or to
validate findings.
- Communicate results and findings to scientific project teams
and stakeholders.
- Contribute to planning and execution of collaborative projects
with leading academic and commercial research groups
worldwide.Basic Requirements:Bachelor's Degree and 5 + years of
Academic / Industry experienceorMaster's Degree and 3+ years of
Academic / Industry experienceorPhD in computer science,
bioinformatics, machine learning or computational biology Preferred
Qualifications:
- Ph.D. in machine learning with 2+ years of post-doctoral
experience in applying computational and analytical approaches in
university, pharma, or biotech settings.
- Expertise in developing state-of-the-art deep learning
techniques, including diffusion models and large language
models.
- Experience with deep learning frameworks such as PyTorch,
TensorFlow, Keras, including underlying implementations.
- Demonstrated ability to design & engineer multiple molecular
representations and apply predictive, multivariate research
approaches to integrated molecular and chemistry datasets.
- Strong working knowledge of protein structure/folding and
protein-ligand interaction prediction.
- Strong problem-solving skills and ability to work independently
and as part of a team.
- Excellent communication and interpersonal skills. 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 CareersWith 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/
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.Any data processed in connection with role applications will
be treated in accordance with applicable data privacy policies and
regulations.
Keywords: Disability Solutions, Newton , Scientist Machine learning - Biomolecular Interactions, Other , Cambridge, Massachusetts
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