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Senior Data Scientist / Associate Principal, Predictive Analytics (R1002965) in London, UK at IQVIA™

Date Posted: 2/28/2018

Job Snapshot

  • Employee Type:
  • Location:
    London, UK
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  • Experience:
    Not Specified
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Job Description

Predictive Analytics, RWAS Technology

Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division 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, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools. 

We are looking for a creative, innovative, intellectually curious and entrepreneurial Senior Data Scientist to join our London-based team.

This is an exciting opportunity to be part of one of the world's leading RWE teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results.

The team

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 work 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 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 role: Senior Data Scientist / Associate Principal

This is an exciting role for a Senior Data Scientist (Associate Principal) who is keen to lead, shape and grow a high profile and highly motivated data science team at the cutting-edge of life science.

What to expect:

  • Delivery: Leading both the design and delivery of machine learning projects for clients
  • Development: Working closely with software engineers, system architects and data scientists to build automated and scalable routines / libraries
  • Business Development: Supporting business development initiatives, including technical support for client pitches, proposal writing and thought leadership (includes publications, presentations at academic conferences, client workshops, etc).

At IQVIA we appreciate and nurture individual talent. Therefore, the exact blend of responsibilities will in part depend on the skill set and aspirations of the successful candidate.

Our ideal candidate: Experience

  • BSc or MSc in Computer Science or related field
  • Extensive experience leading the design and delivery of advanced statistical / machine learning projects in academia or (more ideally) commercial sector end to end with proven delivery capability including requirement capturing, analysis plan design, interfacing with clients and report / manuscript writing.

  • •Demonstrable and successful project management and team management experience.
  • A proactive, innovative and pragmatic approach to problem solving and an ability to think critically and independently is critical.
  • 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.
  • Flexible and adaptable in a client focused, results-driven environment
  • Comfortable and capable of liaising directly with senior stakeholders (internally and externally).

Our ideal candidate: Tech Skills

  • Excellent knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. xgboost), Support Vector Machines, Neural Networks, etc.
  • Strong programming skills in Python and/or R. Experience in Spark or Scala is beneficial.
  • Solid understanding of best 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 is essential. Good grasp of classical statistical methods, such as fitting regression models, inference testing and sampling.

Bonus points for:

  • MSc (or higher) involving machine learning
  • Peer-reviewed publications involving machine learning
  • 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
  • Experience with patient-level, longitudinal data.

You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.

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 maximize their personal potential.

Job ID: R1002965