AI Consultant for Life Sciences Research and Development

7 days ago


South San Francisco, California, United States ZS Full time
Unlock Life-Changing Impact with ZS

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers worldwide.

About Our Life Sciences R&D AI Capability

ZS's life sciences R&D AI capability aims to transform the drug discovery, development, and evidence generation process through innovative, scalable, and industry-first AI-powered solutions and capabilities. We partner with clients to design and develop sophisticated methodologies and solutions that enable breakthrough science, precision medicine, improved probability of success, and accelerated discovery and development.

Key Responsibilities
  • Apply problem-solving, data, delivery, functional, and technology expertise to develop AI & data science solutions for problems across the life sciences R&D lifecycle.
  • Collaborate closely with clients and internal functional, data science, and data engineering colleagues at ZS to integrate and effectively communicate solutions that drive impact.
  • Participate in the development of ZS's thought leadership in AI-based solutions accelerating discovery, clinical development, medical affairs & evidence generation.
  • Provide guidance and mentorship to associate and associate consultant team members.
Requirements
  • Advanced degree (MS/PhD) in AI-related discipline or pharmaceutical development-related discipline (e.g., bioinformatics, biostatistics) plus 5+ years of relevant post-degree work experience.
  • Domain experience applying AI in the context of biomedical research and/or drug development and/or medical affairs and evidence generation.
  • Experience developing solutions for AI areas of interest (e.g., supervised and unsupervised ML, NLP, Generative AI, LLMs, reinforcement learning, graph-based learning, etc.) in industry and/or academic settings.
  • Experience presenting work at conferences and publishing.
  • Relevant programming experience (Python preferred).
  • Excellent critical thinking and problem-solving skills.
  • Strong attention to detail.
  • High motivation, good work ethic, and maturity.


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