Dassault Systèmes - Waltham, MA

posted 3 months ago

Full-time - Mid Level
Waltham, MA
Professional, Scientific, and Technical Services

About the position

BIOVIA, a wholly owned subsidiary of Dassault Systèmes, is seeking a motivated Machine Learning Engineer - Drug Discovery to join our Discovery Studio team in San Diego, CA, or Waltham, MA in an onsite/hybrid role. This position focuses on the development of Machine Learning and Artificial Intelligence techniques for BIOVIA's life sciences modeling and simulation applications. The successful candidate will work closely with the Product Management organization and R&D team to develop, validate, deploy, and apply new scientific methods via the 3DEXPERIENCE Cloud. In this role, you will be responsible for developing scientific computational tools and algorithms specifically in the area of biopolymer modeling and simulation, which includes proteins, RNA, and DNA. You will work on creating deep learning architectures with a machine learning operations (MLOps) approach to commercialize AI techniques in the simulation of biomolecules. Additionally, you will develop user-friendly workflows and interfaces to deploy scientific algorithms into BIOVIA product packages, ensuring that they are accessible and effective for end-users. Interaction with customers will be a key part of this role, as you will gather feedback to improve usability and implement new functionalities. You will also collaborate with marketing, scientific and technical colleagues, and project management to ensure that the products meet the needs of the market. Close coordination with Quality Assurance and development teams will be essential to ensure thorough test coverage and high-quality deliverables.

Responsibilities

  • Develop scientific computational tools and algorithms in the area of biopolymer modeling and simulation.
  • Create deep learning architectures with a machine learning operations (MLOps) approach for the commercialization of AI techniques in biomolecule simulation.
  • Develop user-friendly workflows and interfaces to deploy scientific algorithms into BIOVIA product packages.
  • Interact with customers to improve usability and implement new functionality.
  • Collaborate with marketing, scientific and technical colleagues, and project management.
  • Coordinate closely with Quality Assurance and development teams to ensure thorough test coverage.

Requirements

  • PhD in computational chemistry, biology, or a related discipline is most preferred.
  • At least 5 years of experience with machine learning model development and delivery.
  • Experience in the development of computational tools for drug design.
  • Record of peer-reviewed publications.
  • Familiarity with BIOVIA products is a plus.
  • Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks.
  • Working knowledge of programming languages such as Python and R.
  • Experience with DevOps and Agile methodologies.
  • Strong communication skills and ability to work in a collaborative environment.

Nice-to-haves

  • Experience in the life sciences industry.
  • Knowledge of regulatory requirements in drug discovery.

Benefits

  • Comprehensive medical, dental, and vision care coverage for employees and dependents.
  • Employee life insurance and short & long term disability coverage.
  • Tuition reimbursement for further education.
  • Immediate 401K enrollment with a 401K match (50 cents on the dollar, up to the first 8% of eligible compensation).
  • Flexible time off policy allowing for work-life balance.
  • 10 paid holidays per year.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service