Lead AI Engineer at IQVIA

Amsterdam, North Holland, Netherlands

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

6+ years of industry experience in AI/NLP
Strong software engineering skills, especially in integrating AI into production systems
Proven leadership experience, including mentoring and team management
Expertise in supervised and unsupervised learning, deep learning, and NLP
Ability to communicate complex concepts clearly to cross-functional teams
Experience with production-grade ML/NLP deployments
Strategic thinking around data science product planning under uncertainty
Holistic understanding of ML pipelines within larger systems
Strong problem-solving and critical thinking skills
Ability to read and implement ideas from scientific papers
Proficiency in Python for ML/NLP tasks; other languages (e.g., R, Go, Rust, Java) are a plus
Excellent English communication skills (written and verbal)

Responsibilities

Lead and grow the AI team, fostering a culture of collaboration, learning, and excellence
Contribute directly to the codebase and serve as the primary liaison with other development teams
Drive internationalization of NLP components to support multiple languages
Own work intake, prioritization, and line management of the AI team
Guide projects from concept to production-ready solutions
Collaborate closely with the Product Owner to define deliverables and milestones
Research and apply state-of-the-art NLP and ML methodologies
Ensure AI components integrate seamlessly with our search engine and data warehouse

Skills

Key technologies and capabilities for this role

PythonNLPGenerative AINERNELMultilingual NLPDeep LearningSupervised LearningUnsupervised LearningML PipelinesProduction ML Deployments

Questions & Answers

Common questions about this position

What experience level is required for the Lead AI Engineer role?

The role requires 6+ years of industry experience in AI/NLP, along with proven leadership experience including mentoring and team management.

What is the work arrangement or location policy for this position?

The company offers a flexible work environment where you can choose between office, home, or hybrid. It's nice to have candidates based in the Netherlands to occasionally join in-person team and company activities.

What does the team structure look like for this role?

You'll lead a team of 4–6 AI engineers as part of the Patient Finder team, which includes ~30 professionals across App, Data, and AI/ML squads, plus QA, Deployment, Support, and Consultancy.

What is the company culture like at IQVIA?

The culture emphasizes collaboration, learning, and excellence, with a flexible work environment, monthly team days, and some squads meeting weekly.

What makes a strong candidate for this Lead AI Engineer position?

Strong candidates will have 6+ years in AI/NLP, proven leadership, expertise in ML/NLP including production deployments, proficiency in Python, and experience in healthcare or life sciences is a plus.

IQVIA

Advanced analytics and clinical research services

About IQVIA

IQVIA provides advanced analytics, technology solutions, and clinical research services specifically for the life sciences industry. Their services utilize extensive data resources and technology to create connections within healthcare, allowing clients to gain insights that help speed up the development and marketing of new medical treatments. This process is facilitated by their IQVIA Connected Intelligence™ system, which offers quick and flexible insights. IQVIA stands out from competitors by focusing on patient privacy, employing various technologies to protect individual data. The company's goal is to enhance healthcare outcomes by supporting biotech, pharmaceutical, and medical device companies, as well as researchers and government agencies, in understanding diseases and advancing medical science.

Durham, North CarolinaHeadquarters

1998Year Founded

$3,526MTotal Funding

POST_IPO_EQUITYCompany Stage

Cybersecurity, Biotechnology, HealthcareIndustries

10,001+Employees

Risks

Rapid advancement of cancer vaccines may disrupt traditional clinical research models.

Proliferation of disparate technological solutions causes technology overload in clinical trials.

Generative AI technologies face challenges in adoption due to data privacy concerns.

Differentiation

IQVIA leverages advanced analytics and big data for life sciences solutions.

The company offers privacy-enhancing technologies to protect individual patient data.

IQVIA's AI Assistant provides rapid, actionable insights for healthcare and life sciences.

Upsides

Increased adoption of decentralized clinical trials enhances patient-centric study designs.

AI-driven drug discovery accelerates identification of potential drug candidates.

Expansion of telemedicine facilitates remote patient monitoring and data collection.

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