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Associate Director, AI Architecture

Location: London, United Kingdom

When leveraging existing technologies isn't enough, you build new ones. As a Software Developer at IQVIA, you'll play a vital role in driving the design, development and deployment of new products that enable our customers to tackle some of the toughest global health problems.

While collaborating with experts across disciplines like NLP, genomics and predictive analytics, and access to IQVIA's 35+ petabytes of data, including 800+ million, non-identified, patient records, you'll help engineer the healthcare world of tomorrow, today.

  • Full Time
  • Level: Mid-Level
  • Travel: No

Success profile

What makes a Software Developer at IQVIA successful? Check out the top traits we’re looking for and see if you have the right mix.




Our freedom to investigate, experiment and innovate forms the basis of our development approach at IQVIA.

Patrick, Senior Software Developer

As soon as I started working for IQVIA, I felt welcomed, supported and cared for by both the team and the company. As someone who is not a doctor or physician, it’s great to help make a difference in people’s lives in the medical world. You cannot fail to be inspired working here.

Rachel,SQL Developer

What you
can expect

  • Healthcare

    Plans designed to fit your lifestyle

  • Retirement Plans

    Plans to help you invest in your future

  • Professional Development

    Training programs to support your career growth

  • Collaboration

    Teams motivated to solve problems together

  • Variety

    Unparalleled data assets including 1M+ data feeds

  • Awards & Recognition

    Celebrations for a job well done

Associate Director, AI Architecture

Apply now
Location: London, London, United Kingdom R1136082 Posted: 10/10/2021

Job description

Our Real-World Technology division within IQVIA is a fast-growing business, focusing upon delivering tangible results to our clients across healthcare levering software and healthcare bigdata. We work with clients to help them use complex clinically rich patient-level healthcare datasets to answer their specific questions globally, make more informed decisions, and deliver results to solves healthcare biggest challenges, from accelerating clinical trials to diagnosing patients with rare diseases. Our ever-expanding range of successful product lines include privacy engines, NLP engines, AutoAI engines or BigData SaaS platforms. In addition, the team curates the world’s largest collection of such Real-World Data from actual patient care settings in 18 countries worldwide, encompassing clinical trial, genomics, EMR, claims and pharmacy data, and is at the forefront of “Big Data” in healthcare.

We are looking for a passionate technology and product-focused evangelist for this position based in London, UK or Warsaw, Poland. In this senior role for our Real World Technology team you will be key in creating software & data science solutions to extend our range of SaaS and AI machine learning based offerings, from pipeline and database optimization through to data mining and visualization techniques such as graph, hive plotting or topological data analysis.

You’ll work closely with and across the leadership our RW Technology Team including, VPs and Directors owning different product lines and software engineering cells to:

  • Support implementation of IQVIA-wide AI council architecture initiatives (source, CD/CI pipelines, API re-use, AI performance validation infrastructure)

  • Build dedicated solutions in AIML pipelines, from data through to visualization and associated data mining techniques such as Graph and AI frameworks

  • Develop MVP prototypes based on novel databases (e.g., Neo4j, SOLR, elastic), representation learning, semantic reasoning, or visualization techniques (e.g., topological)

  • Work with exiting IQVIA SaaS & AI platforms to re-use technical capabilities

  • Support rapid solution architecture design as part of business development and sales, such as for large or complex client RFPs

Our ideal candidate: Experience

  • Strong software engineering skills and exposure to various end-end technology stacks

  • Experience in BigData engines (e.g., petabytes of data) and mastery of bigdata science languages (e.g., Python, PySpark / Spark SQL, SPARQL, Cypher)

  • Depth in novel databases (e.g., Neo4j, SOLR, Elastic, GraphLab, GraphEngine, or similar) and representation learning (e.g., knowledge graph, semantic reasoning

  • Exposure to key AI frameworks (Tensorflow, Sagemaker, etc…) and visualization techniques (topological analysis, concept maps, graph)

  • Exposure to cloud vendor tools and infrastructure

  • Proven hands-on leadership in building software solutions or data science teams.

Our ideal candidate: Abilities

  • Proven experience in solution architecture implementation

  • Outstanding technical and coding abilities

  • A collaborative mindset and excellent communication skills

  • Proven ability to build strong relationships

  • Fluency in English and excellent oral presentation and writing skills.

Offering Competitive Salary and Benefits

We thank all applicants for their interest; however only those selected for interview will be contacted.

IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.



At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 67,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at

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