Manager, AI Science & Solutions

Talanto; Durham, Northern (NC, KY); Hybrid; USD 111,000 - 279,000; Full time

Job summary

IQVIA is seeking a Manager, AI Science & Solutions in Durham (Remote). Lead hands-on design and deployment of bespoke AI/ML solutions for life sciences clients, guiding use case discovery through production rollout.

You will mentor teams, communicate complex AI concepts to stakeholders, and ensure delivery of tailored AI strategies aligned with client needs in a fast-paced, collaborative environment.

Qualifications

• Extensive Life Sciences domain experience; advanced degree preferred.
• Strong client project management experience in life sciences R&D.
• Solid understanding of AI/ML concepts, including generative AI.
• Ability to explain complex concepts to non-technical audiences.
• Experience deploying ML models on cloud platforms is a plus.

Responsibilities

• Deliver PoCs showcasing value of Generative AI solutions.
• Lead cross-functional teams and client engagements.
• Maintain up-to-date knowledge of AI/ML advancements and apply them.
• Mentor team members and provide technical leadership.
• Communicate AI solutions to non-technical stakeholders.

Skills

Life Sciences domain knowledge

Project management

AI/ML concepts

Communication

Collaboration

Multi-project management

Team-oriented culture

Python

Education

Advanced degree in CS/Engineering/Life Sciences

Tools

Python

LangChain/LangGraph

Azure/AWS

Job description

9,283 – 23,208 $

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Job Title: Manager, AI Science & Solutions

Job Location: Durham, North Carolina, United States of America

Job Location Type: Remote

Job Contract Type: Full-time

Job Seniority Level:

Manager, AI Science & Solutions | IQVIA

Are you looking to work at the forefront of Machine Learning and Artificial Intelligence? Would you be excited to apply cutting-edge Generative AI technologies to solve complex, real-world problems with meaningful impact in life sciences and healthcare?

The AI Scientist Group at IQVIA is a strategic, customer-facing team helping pharmaceutical and life sciences organizations design, build, and scale advanced AI/ML solutions. Our team of AI scientists, consultants, and engineers works closely with customers to unlock transformational business value through applied AI innovation.

About the Role

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.

Required Qualifications & Skills

• 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.

Why IQVIA

At IQVIA, you'll have the opportunity to apply advanced AI technologies to some of the most impactful challenges in global healthcare and life sciences, working with world‑class talent, industry‑leading data, and innovative platforms to drive real outcomes.

Key Improvements

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IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $111,400.00 - $278,500.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.