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Manager, AI Science & Solutions

111 400 - 278 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, AI Science & Solutions (Generative AI/Machine Learning): Designing and delivering bespoke AI solutions, from proofs of concept through scalable production deployment, for pharmaceutical and life sciences customers with an accent on foundation models, agentic AI, and client-focused consulting. Focus on leading multidisciplinary teams, deploying AI/ML solutions at scale, and translating complex technical concepts for non-technical stakeholders.

Location: Durham, North Carolina, United States

Salary: $111,400–$278,500 annual base pay

Company

hirify.global provides clinical research services, commercial insights, and healthcare intelligence for the life sciences and healthcare industries.

What you will do

  • Design and deliver bespoke Generative AI and Machine Learning solutions for pharmaceutical and life sciences customers.
  • Build proofs of concept that demonstrate the value of Generative AI solutions.
  • Lead multidisciplinary teams in building, deploying, and scaling AI/ML solutions in production environments.
  • Collaborate with clients and internal teams from use case discovery through production deployment.
  • Present AI solutions to non-technical stakeholders and serve as the primary contact for assigned client engagements.
  • Provide technical leadership, mentorship, and consultative delivery aligned with customer needs.

Requirements

  • Extensive experience in the Life Sciences domain, preferably in Life Sciences R&D.
  • Experience managing complex client projects in a fast-paced, client-focused environment.
  • Strong understanding of AI/ML concepts and modern architectures, including Generative AI, foundation models, and agentic AI.
  • Excellent analytical, problem-solving, communication, and collaboration skills.
  • Ability to explain complex technical concepts to non-technical audiences and manage multiple priorities.
  • An advanced degree in Computer Science, Engineering, Life Sciences, or a related field is preferred.

Nice to have

  • Python and LangChain/LangGraph experience.
  • Experience with Supervised Fine-Tuning, Direct Preference Optimization, Proximal Policy Optimization, or Reward Modeling.
  • Experience deploying Machine Learning models at scale on Azure or AWS.

Culture & Benefits

  • Collaborative, team-oriented environment with cross-functional and customer-facing work.
  • Opportunity to apply advanced AI technologies to challenges in global healthcare and life sciences.
  • Access to industry-leading data, innovative platforms, and world-class expertise.
  • Health and welfare benefits may be provided along with incentive plans, bonuses, or other compensation depending on the position.

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