Machine Learning Lead
5 days ago
Vertex Pharmaceuticals is seeking a highly skilled Machine Learning Lead to join our Data and Computational Sciences (DCS) team. As a key member of our team, you will be responsible for leading machine learning efforts in global research, preclinical, and pharmaceutical sciences.
Key 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.
- 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.
- Excellent ability to strategically evaluate opportunities, communicate and collaborate with subject matter experts of diverse backgrounds.
- 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.
Vertex Pharmaceuticals is an equal opportunity employer and welcomes applications from diverse candidates. We offer a competitive salary range of $188,000 - $282,000, an annual bonus, and annual equity awards. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements.
Flex Designation: Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility.
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