Data Science Consultant (Machine Learning), Predictive Analytics (R1083745) in London, UK at IQVIA™

Date Posted: 8/17/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    London, UK
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    8/17/2019
  • Job ID:
    R1083745

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.

We are looking for a creative, innovative, intellectually curious and entrepreneurial Data Scientist with experience in applying Machine Learning algorithms 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 real world insights to help our clients answer specific questions globally, make more informed decisions and deliver results.



The role

We are looking for a Data Science Consultant who is keen to apply data engineering and machine learning tools at the cutting-edge of life sciences.

The primary focus of the role is:

  • Working with the team and client to shape and develop requirements for ambitious life science questions (e.g. insights into operational inefficiencies for health care providers, early diagnosis in rare diseases, predicting optimal dosing frequency in patients)
  • Translation of requirements into ML-focused solutions
  • 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
  • Proactively identify 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 two to seven years of experience working in a technical / consulting environment involving advanced analytics, preferably in a commercial setting.
  • Strong scientific programming skills in languages such as Python and R
  • 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), support vector machines, deep learning methods, etc.
  • Excellent organisation skills with an appetite for working a fast-paced environment
  • 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:

  • 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.
  • Work in bioinformatics
  • Knowledge of healthcare / life science issues involving Real-World Evidence.


The Team

Our Predictive Analytics 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 centre 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, 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 Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team work hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWI team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.



The Business Unit: Real-World & Analytics Solutions (RWAS) Technology

Real-World & Analytics Solutions (RWAS) is a market-leading, fast-growing and highly successful business, focusing on delivering tangible business results to clients across healthcare value chain internationally, working with key decision-makers and business managers. RWAS teams help clients leverage complex clinically rich patient-level healthcare datasets to understand healthcare treatment patterns and outcomes to make more informed decisions, and deliver results.

The RWAS Technology mission is to deliver world class and globally scalable technology platforms and analytics applied to complex and large scale clinical datasets, to support IQVIA’s ongoing and rapid growth in Real World Evidence, as well as the development of new product lines - this requires global leadership across technical and data architecture, software development and data visualisation, privacy management, analytical methods, data science, machine learning, deep learning and natural language processing (NLP) - building upon 100s of novel technologies and methods either published in peer reviewed journals or patented by our team.

The solutions are delivered to a variety of clients across life-science, government, payor or provider organisations. RWAS also curates the largest collection of de-identified Real-World Data in the world, from different patient care settings in 18 countries worldwide – the RWES Tech team is at the forefront of “Big Data” in healthcare. Through its mission and skills, the RWAS organisation is transforming the way clients create new insights and deliver improved healthcare research and patient outcomes.

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.

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: R1083745