Scientist Machine Learning - Cambridge, United States - Bristol-Myers Squibb

Bristol-Myers Squibb
Bristol-Myers Squibb
Verified Company
Cambridge, United States

3 weeks ago

Mark Lane

Posted by:

Mark Lane

beBee recruiter
Description

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.


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.


Responsibilities:


  • Interrogate properties of proteinprotein and proteinligand interaction surfaces and their molecular representations.
  • Devise AI/ML strategy to predict, or de novo design, small molecule ligands that enhance complex proteinprotein 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 experience

or

Master's Degree and 3+ years of Academic / Industry experience

or

PhD in computer science, bioinformatics, machine learning or computational biology
Preferred Qualifications:

  • 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.
  • Strong working knowledge of protein structure/folding and proteinligand interaction prediction.
  • Strong problemsolving skills and ability to work independently and as part of a team.
  • Excellent communication and interpersonal skills.

Uniquely Interesting Work, Life-changing Careers

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 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.
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