**AI Engineer – Health Data Science Team, Real-World Solutions** **IQVIA™** is the leading human data science company, focused on helping healthcare customers uncover unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA delivers a broad range of solutions that leverage the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive the future of health. We are seeking an innovative, collaborative, intellectually curious, and entrepreneurial **AI Engineer / Data Scientist** to join our Health Data Science team. This is an exciting opportunity to work within a dynamic, startup-style group inside one of the world’s largest human data science companies. The primary focus of this role is to develop innovative Machine Learning (ML) solutions applied to healthcare, using highly complex and large-scale medical data, and deploying those solutions in internal and external environments to deliver patient-level alerts to healthcare professionals worldwide. The role requires close coordination and collaboration with our global Data Science team (located in the UK and India) and consultants in the US. ### **A typical day may include:** * Working with the team and clients to define and develop requirements addressing ambitious life sciences questions (e.g., can we predict the diagnosis of a rare disease or the optimal dosing frequency for patients?) and building solutions to apply predictive analytics methods within project-specific infrastructures. * Fulfilling these requirements by developing and applying ETL processes (for cohort and feature creation from raw data) and Machine Learning methodologies (to build unbiased predictive models). * Collaborating with clients and engineering teams to plan and execute technical transfer of algorithms, ensuring delivery of alerts to healthcare providers. * Communicating technical concepts and analytical results to a diverse set of stakeholders (internal and external). * Proactively identifying opportunities for innovation and workflow improvement. * Researching Machine Learning techniques that could enhance our solutions. ### **Ideal Profile:** * One of the following: + PhD in a technical or scientific field. + Technical/scientific MSc **+** at least two years of experience in a technical/consulting environment involving Machine Learning, preferably in a commercial context. * Knowledge and hands-on experience applying supervised ML methods such as regularized regression, tree-based models (e.g., XGBoost), and Deep Learning techniques. * Strong scientific programming skills (preferably in Python) and software engineering capabilities (OOP, TDD, CI/CD, Docker, MLOps, working with large collaborative codebases), with a proven track record tackling computational challenges related to ML development and deployment. * A strong history of collaboration. This role requires close work with multifunctional global teams. The ideal candidate enjoys working in small project teams and can decompose complex technical requirements into tasks distributed across regions (we have team members in India, Europe, and the US). * Excellent verbal and written communication skills, including the ability to clearly present technical concepts (in writing, in-person meetings, and calls), author project analyses, effectively and persuasively present ideas to clients/internal stakeholders, and provide regular progress updates. * A proactive, innovative, and pragmatic problem-solving approach—including independent research, critical thinking, knowing when to seek help and input, and devising creative solutions to complex methodological and technical problems. * Outstanding organizational skills, ability to manage complex projects, proactively communicate deadlines and potential delays, and a proven record of on-time delivery. ### **Nice-to-Have Qualifications:** * Interest in evolving into a team leadership role long-term, including team growth and operational formalization. * Experience in a health data science/informatics team within a healthcare organization, including familiarity with healthcare data, integration with electronic medical records (EMR), and types of environments used for solution development/deployment. * Experience with PySpark / Big Data. * Experience developing proprietary packages/tools. * Knowledge of epidemiology/biostatistics, especially analytical issues related to treatment effectiveness studies, disease progression, adherence, healthcare service utilization, study design, etc. ### **The Team** “Big Data” is transforming how the healthcare industry operates—and more than ever, the key to better patient outcomes lies in intelligent use of technology, integrated information, and analytics. Our **“AI for Health”** team, within the **Real-World Solutions (RWS)** division, is a rapidly growing, collaborative, enthusiastic, and entrepreneurial group. We sit at the heart of IQVIA’s pursuit of advanced Machine Learning and statistical methods to advance health. Our efforts improve underreporting of rare diseases, create personalized treatment response profiles, predict disease progression, and develop clinical decision-support tools—all with direct impact on patient care. You will join this high-profile team to work on innovative health outcomes problems across areas such as Ophthalmology, Oncology, Neurology, chronic diseases (e.g., diabetes), and various rare conditions. You’ll work side-by-side with statisticians, epidemiologists, and disease experts within the global RWE Solutions team, leveraging a wide variety of anonymized, patient-level information. The data includes IQVIA’s access to over **530 million anonymized patients**, plus exclusive partnerships with healthcare providers and payers. **Watch the video featuring Nadea Leavitt, Senior Director of AI for Health & MedTech at IQVIA, explaining why candidates should consider joining our Data Science team:** https://youtu.be/MKXQBncgbs8 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 https://jobs.iqvia.com