[Hiring] Manager, AI Science & Solutions @IQVIA

Role Description

As an AI Scientist Manager, you will work hands-on to design and deliver bespoke AI solutions for pharmaceutical and life sciences customers. You will collaborate with cross-functional teams and clients to take ideas from use case discovery and proof of concept through scalable production deployment. This role combines technical expertise, innovative problem-solving, and consultative delivery in a highly collaborative environment.

Key Responsibilities

• Deliver proofs of concept (PoCs) that demonstrate the potential and value of Generative AI solutions.
• Stay current with the latest advancements in Generative AI and Machine Learning and apply them to real-world business challenges.
• Provide technical leadership and mentorship to team members.
• Present and clearly explain AI solutions to non-technical stakeholders in customer-facing engagements.
• Apply consulting principles to deliver tailored AI solutions aligned with customer needs.
• Collaborate with internal teams and directly with pharmaceutical and life sciences clients to address business challenges using Generative AI.
• Serve as the primary point of contact for client stakeholders on assigned engagements.
• Lead multidisciplinary teams to build, deploy, and scale AI/ML solutions in production environments.

Qualifications

• Extensive domain experience in Life Sciences. An advanced degree in Computer Science, Engineering, Life Sciences, or a closely related field is preferred.
• Strong experience managing complex client projects, preferably in Life Sciences R&D.
• Strong understanding of AI/ML concepts and modern AI architectures, including Generative AI, foundation models, and agentic AI. Experience with Python and LangChain/LangGraph is preferred.
• Understanding and hands-on experience in the following areas is a plus:
  • Supervised Fine-Tuning (SFT)
  • Direct Preference Optimization (DPO)
  • Proximal Policy Optimization (PPO)
  • Reward Modeling
• Experience deploying machine learning models at scale on cloud platforms (e.g., Azure, AWS) is preferred.
• Excellent analytical and problem-solving skills, with the ability to think creatively and critically.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to non-technical audiences.
• Ability to manage multiple projects and priorities in a fast-paced, client-focused environment.
• A strong desire to work in a collaborative, team-oriented culture.

Benefits

• Opportunity to apply advanced AI technologies to impactful challenges in global healthcare and life sciences.
• Work with world-class talent, industry-leading data, and innovative platforms to drive real outcomes.