Senior Data Scientist - Machine Learning (R1102143) in London, UK at IQVIA™

Date Posted: 10/22/2019

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.

Senior Data Scientist – Machine Learning



Predictive Analytics,

This is an exciting role for a senior data scientist to join a dynamic, collaborative and rapidly growing data science team with access to the world’s largest set of healthcare information and the latest technology platforms and analytics software.  You will leverage your machine learning and statistical knowledge and your advanced coding skills to support the team’s modelling methodologies and to contribute to automatized ML solutions in a collaborative and agile environment.



A typical day might include:

  • Designing machine-learning focused solutions to solve challenging problems in health care by leveraging highly complex, rich patient-level medical data.

  • Building and maintaining software packages and data science tools that enable fast and accurate delivery of client projects.
  • Working closely with data scientists, consultants and data engineers to collaboratively plan and implement new tools to support the business needs.
  • Supporting other data scientists in the use of the systems you build by providing training and on-case technical support.
  • Ideating and developing experiments that supports the evolution of our modelling strategies and the development of future offerings.
  • Carrying out a variety of product development activities, including requirements gathering, package designing, code peer-reviewing and story planning.
  • Mentoring junior team members and proactively contributing to the overall technical and scientific growth of the team.


Our ideal candidate:

Experience

  • PhD in a technical or scientific domain and 2+yrs industry or Msc in a numerical discipline and 4+years of industry experience.

  • Experience in the design and delivery of products or projects involving advanced statistical methods and machine learning in an academic and/or commercial setting.

  • Familiarity with Agile methodologies, such as Scrum or Kanban, as well as best practices for software development (i.e. version control, unit-testing).

  • Experience in working with large datasets and distributed computing systems.





Key Skills you will have:

  • Advanced level programming skills in Python including significant experience using data science and machine-learning packages such as Numpy, Pandas, scikit-learn, etc. Experience using PySpark is a plus.

  • Ability to translate real-data problems into machine learning problems and to select appropriate machine algorithms for a given problem. Broad knowledge of advanced machine learning techniques (i.e. gradient boosting, ensemble classifiers, regularized regressions, deep learning) particularly in the context of supervised learning and sequential modelling.

  • A set of software-development values that ensures high-quality, readable and maintainable code is produced within an open and collaborative environment.

  • Excellent written and spoken communication skills, including ability to present technical concepts to lay audiences, write clear package documentation, preparing training resources, maintaining efficient communication with the internal stakeholders, etc.

  • A pragmatic approach in scope and design, seeking simple iterative solutions wherever possible to shorten the time-to-value of work. 



Bonus points for:

  • A demonstrable interest (e.g. public GitHub repo, online course completion) in one of the following machine learning libraries: TensorFlow, PyTorch or CRAN packages for machine learning.

  • Knowledge of healthcare / life science issues involving Real-World Evidence and/or experience in working with electronic medical records.

  • Additional experience developing in other object-oriented languages and/or confident user of shell scripting commands.



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 big data technology. Our efforts improve under-diagnosis of rare diseases, personalised treatment response, 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 several disease areas including Oncology, Neurology, Chronic diseases such as diabetes, and a variety of very rare conditions. The Predictive Analytics team is made of data scientists, machine learning engineers, software developers, consultants experts in real-world data and in the pharma market and it collaborates across the wider global RWI team, leveraging a 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.

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: R1102143