Description review

Manager, AI Science & Solutions

Lifelancer · United States · back to the listing

HR standards

55/100

needs work

Title ↔ description

68/100

needs work

Reads as

Machine Learning Engineer

83% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

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What the listing never says

  • 26 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

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

• Standardized capitalization (Generative AI, Machine Learning, Life Sciences).

• Removed HTML tags (
) and replaced with proper section formatting.

• Improved punctuation and grammar consistency.

• Standardized terminology such as "proofs of concept," "point of contact," and "problem-solving."

• Enhanced readability while preserving the original content and meaning.

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.

This job is curated by Lifelancer.

Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

Please apply via Lifelancer platform to get connected to the application page and to find similar roles.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 8 points (from 63 before penalties). Reviewed 21 Sep 2026.