1 день назад
Manager, AI Science & Solutions
111 400 - 278 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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