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6 дней назад

Scientific Fellow, Agentic AI (AI Co-Scientist Lead) (Agentic AI)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Scientific Fellow, Agentic AI (AI Co-Scientist Lead) (Agentic AI): Leading the development, evaluation, and deployment of agentic AI co-scientist capabilities for drug discovery and scientific research with an accent on scientific reasoning, hypothesis generation, experimental planning, and decision support. Focus on defining agent roles and orchestration, establishing rigorous validation and governance frameworks, and integrating data, models, tools, compute, and expert review into reproducible workflows.

Location: Boston, MA; hybrid with 3 days per week onsite, or onsite five days per week

Salary: $0–$0 base salary range, plus annual bonus and annual equity awards.

Company

Vertex is a global biotechnology company focused on scientific innovation.

What you will do

  • Lead the agentic AI co-scientist initiative across scientific, computational, and technical functions.
  • Define the strategy, architecture, roadmap, agent roles, scientific system skills, and orchestration patterns.
  • Lead evaluation of internal, commercial, partnership, open-source, and externally available AI capabilities.
  • Establish validation, benchmarking, acceptance, governance, provenance, reproducibility, and uncertainty standards.
  • Identify high-value drug discovery use cases and guide capabilities from prototype through deployment and adoption.
  • Shape data, platform, infrastructure, knowledge management, model integration, and scalable compute requirements.

Requirements

  • Ph.D. in computer science, AI, machine learning, computational biology, computational chemistry, bioinformatics, engineering, applied mathematics, or a related field, with 10+ years of relevant experience.
  • Senior scientific and technical leadership experience in drug discovery, life sciences, AI/ML, computational science, or a closely related field.
  • Deep expertise in LLMs, agentic systems, scientific foundation models, retrieval, tool use, planning, and AI evaluation.
  • Experience leading complex cross-functional initiatives from strategy through delivery, adoption, and measurable impact.
  • Strong understanding of scientific research workflows, data strategy, responsible AI, reproducibility, transparency, cybersecurity, privacy, and human oversight.
  • Ability to influence senior stakeholders, align teams without direct authority, assess external technologies, and make evidence-based build, buy, partner, adapt, or integrate decisions.

Culture & Benefits

  • Hybrid flexibility with remote work available up to two days per week, subject to company policy.
  • Medical, dental, and vision benefits, generous paid time off, and week-long summer and winter company shutdowns.
  • Educational assistance programs, including student loan repayment.
  • Commuting subsidy, charitable donation matching, 401(k), and other total rewards benefits.
  • Inclusive workplace committed to equal employment opportunity and reasonable accommodations.

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