Senior Artificial Intelligence Director

7 days ago

Étreux, Hauts-de-France, United States Vertex Pharmaceuticals Full time
Vertex Pharmaceuticals

We are seeking a Senior Artificial Intelligence Director to lead our machine learning efforts in the Data and Computational Sciences team. This role will drive strategic partnerships with other data science groups across the network, develop and implement novel methods for predictive models and generative models, and apply them to small molecule datasets.

About the Role
  • Job Summary: Lead machine learning research fellow to advance the discovery and development of transformative small molecule medicines, cell therapies, and genetic therapies.
  • 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, with an initial focus on partnering with chemistry and computational chemistry leaders.
    • Lead data integrity efforts to define guidelines that ensure ML/AI models have appropriate governance and documentation processes.
    • Evaluate and benchmark machine-learning methods related to key scientific applications, such as small molecule property prediction and design, generative models and active learning.
    • Modify existing methods, or implement novel methods to address project needs that are amenable to ML/AI approaches.
    • Collaborate with software developers in Data Technology and Engineering and the ML/AI development group within DCS 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 (e.g., computational chemistry or biology) 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 (transformers, RL, GNN), 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 (scikit-learn, JAX, PyTorch, Tensorflow, etc.).
    • Experience in visualization and interpretation (xAI) 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 per year.

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