Data Scientist (R1098868) in London, UK at IQVIA™

Date Posted: 10/1/2019

Job Snapshot

Job Description

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.

Data Scientist, Predictive Analytics

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 an intellectually curious and detail-oriented Data Scientist, with experience in applying machine learning methods to solve real-world problems, to join our London (Kings Cross) team. This is an exciting opportunity to work in one of the world's leading human data science teams, working with one of the largest medical healthcare datasets to help our clients answer specific questions, make more informed decisions and deliver results.



A typical day might include:



  • Working with the team and client to shape and develop requirements for answering ambitious life science questions (e.g. can we predict a rare disease diagnosis or an optimal dosing frequency in patients?)
  • Addressing those requirements by developing and applying appropriate ETL processes (for feature creation from our raw data) and machine learning methodology (for constructing predictive models in an unbiased manner).
  • Researching machine learning techniques that could be used to improve our offering.
  • Communicating technical concepts and analytical outputs to a diverse set of stakeholders (internal and external).
  • Owning the delivery of client-facing projects from a technical perspective: working closely with data engineers, data scientists and consultants in an agile environment to deliver high quality, robust insights.
  • Contributing to code reviews during projects and providing feedback.
  • Proactively identifying opportunities for innovation and areas for improvement across the workflow.

Ideally you will have:

  • Postgraduate degree or higher in a technical or scientific domain or experience working in a technical / consulting environment involving advanced analytics, preferably in a commercial setting.
  • Strong scientific programming skills in Python.
  • Appetite for applying new and existing technologies to challenging problems in health care, i.e. motivated by solving the problem.
  • Knowledge of supervised machine learning methods, such as regularised regression, ensemble tree-based models (e.g. xgboost) and deep learning methods.
  • Excellent organisation skills and ability to deliver results to deadlines.
  • Excellent communication skills, including ability to present technical concepts clearly (in writing, face-to-face discussions and on conference calls), write project analyses, 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.
  • Ability to work collaboratively as part of a cross-functional team.

Bonus points for:

  • PySpark / big data experience.
  • Experience of code development in collaborative environments (e.g. doing code reviews through pull requests).
  • Knowledge of healthcare patient-level data.
  • Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilisation, etc.
  • Knowledge of healthcare / life science issues.



The Team




“Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World Solutions (RWS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalised treatment response profiles, disease progression predictions, and clinical decision-support tools.

You will join this high-profile team to work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The Predictive Analytics team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWE Solutions team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.



We invite you to join IQVIA™.



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 maximise their personal potential.

Join Us

Making a positive impact on human health takes insight, curiosity, and intellectual courage. It takes brave minds, pushing the boundaries to transform healthcare. Regardless of your role, you will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve outcomes for patients.

Forge a career with greater purpose, make an impact, and never stop learning.



Job ID: R1098868