Data Scientist/Machine Learning Engineer

IQVIA™ is the leading human data science company focused on helping healthcare clients find unparalleled insights and better solutions for patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness the power of healthcare data, domain expertise, transformative technology, and advanced analytics to drive healthcare forward.

We are looking for a creative, innovative, intellectually curious, and entrepreneurial Data Scientist/ML Engineer to join our healthcare data science team. This is an exciting opportunity to work in one of the world's leading human data science teams working with real world insights to help our clients answer specific questions globally, make more informed decisions and deliver results. If you are a Data Scientist who is keen to build data engineering and machine learning tools and solutions at the cutting-edge of life sciences, you will be in great company with this highly esteemed team of experts! The primary focus of the role is to develop ML solutions on high scale, high complexity rich medical data to predict answers to healthcare challenges.

Ideally you will have:

• 2-4 years’ experience working on creating machine learning algorithms.
• Postgraduate degree or higher involving machine learning, computer science, statistics, or another STEM field
• Knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g., xgboost), support vector machines, etc. Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling.
• Proficiency in Python.
• Understanding of coding practices and version control software such as Git, ability to write clean and efficient code and a good understanding of the data science package landscape.
• Experience of statistical/machine learning projects in academia or the commercial sector.
• Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write analysis plans for projects, contribute to proposals / grant applications, pitch ideas effectively and persuasively to clients / internal stakeholders, etc.
• A proactive, innovative, and pragmatic approach to problem solving and an ability to think critically and independently, able to work as part of a cross-functional team.

Bonus points for:

• Experience in PySpark is highly beneficial.
• Knowledge of healthcare patient-level data.
• Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
• Knowledge of healthcare / life science issues involving Real-World Evidence.

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The Team

Our data science team is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals! In our never-ending quest for opportunities to harness the value of Real World Evidence (RWE), we are at the center of IQVIA’s advances in areas such as machine learning and cutting-edge statistical approaches. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.

Check out this testimonial video featuring Nadea Leavitt, Senior Director of AI for Healthcare & MedTech at IQVIA, where she talks about why candidates should consider joining our Data Science group at IQVIA. Visit https://youtu.be/MKXQBncgbs8

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 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at jobs.iqvia.com.

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, Inc. provides reasonable accommodations for applicants with disabilities.  Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at workday_recruiting@iqvia.com to arrange for such an accommodation.