Vice President of Computational Analytics and Artificial Intelligence

1 week ago

Cambridge, Massachusetts, United States Repertoire Immune Medicines Full time
Job Description

Repertoire Immune Medicines is a biotechnology company dedicated to unlocking the power of the human immune system to treat cancer and autoimmune disease. Our team is working to develop novel targeted immune medicines using the DECODE platform, which allows for in-depth characterization of TCR-antigen pairs. We are seeking a Vice President of Computational Analytics and Artificial Intelligence to lead our computational vision and strategy.

Key Responsibilities
  • Develop and execute the organization's computational vision and strategy.
  • Build and lead a world-class team of computational scientists.
  • Deploy predictive and generative artificial intelligence models to provide novel insights from our immune synapse database.
  • Develop tools that leverage our DECODE database using data mining, analytics, statistics, and machine learning.
  • Provide leadership for the analysis of single-cell sequencing datasets.
  • Expand and lead a team of machine-learning scientists, computational biologists, bioinformaticians, and computational engineers.
  • Manage and execute multiple projects in parallel, prioritizing team activities to meet short timelines.
  • Represent the computational platform to internal leadership, external partners, academia, and investors.
Qualifications and Experience
  • PhD in Computer Science from a top-tier academic institution with a focus on applying artificial intelligence and machine learning to complex biological systems.
  • More than 5 years of experience leading machine learning/artificial intelligence-based analytics in a life sciences company.
  • Visionary leader with a passion for creating key insights into understanding complex biological systems using machine learning/artificial intelligence.
  • Strong network across industry and academia.
  • Ability to inspire and influence within and beyond computational teams.
  • Proven ability to effectively lead and motivate a team to meet critical timelines.
  • Experience with generative AI.
  • Mastery of artificial intelligence approaches across architectures, deep learning libraries, and cloud-computing environments.
  • Fluency in Python ML packages, SQL, and vector databases.
  • Extensive experience integrating, analyzing, visualizing, and modeling large, multi-dimensional datasets.
  • Excellent communication skills, with the ability to communicate effectively across diverse audiences.

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