Machine Learning Lead

4 weeks ago


San Diego, California, United States Vertex Full time
About the Role

Vertex Pharmaceuticals is seeking a highly skilled machine learning expert to lead machine learning efforts in the Data and Computational Sciences (DCS) team. As a key member of the Data & Methods Leadership Team, you will set the strategy for our approach to foundational methods and capabilities for all of DCS.

In this leadership role, you will lead the development and application of machine learning and artificial intelligence across applications in global research, preclinical, and pharmaceutical sciences to improve, advance, and accelerate the discovery and development of transformative small molecule medicines, cell therapies, and genetic therapies.

You will have the opportunity to impact a variety of scientific areas, including predictive models for small molecule compounds, protein structure prediction, lipid nanoparticle design, and cell therapy characterization and manufacturing.

Responsibilities
  • Develop and lead machine learning methods for key scientific questions across global preclinical research & pharmaceutical sciences
  • Partner with scientific experts to evaluate and develop machine learning methods in various scientific domains
  • Lead data integrity efforts to define guidelines that ensure that ML/AI models have appropriate governance and documentation processes
  • Evaluate and benchmark machine-learning methods related to key scientific applications
  • Modify existing methods, or implement novel methods to address project needs that are amenable to ML/AI approaches
  • Collaborate with software developers to transition novel methods into the production MLOps system
  • Drive strategic partnerships with other data science groups across the network
Qualifications
  • PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field with a strong emphasis in machine learning method development, and 10+ years of relevant experience
  • Deep expertise in the mathematics & algorithms for machine learning, both classical as well as modern deep learning methods, and active learning & model confidence methodologies
  • Excellent ability to strategically evaluate opportunities, communicate and collaborate with subject matter experts of diverse backgrounds, and rapidly learn about new scientific areas
  • Very strong Python programming skills and experience with modern machine learning tooling
  • Experience in visualization and interpretation of ML/AI models
  • Scientifically diverse, authoritative and effective communicator, with excellent verbal and written communication skills
  • Knowledge of concepts related to drug discovery and development

Pay Range:

$188,000 - $282,000

Disclosure Statement:


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