We are looking for a creative, innovative, intellectually curious, and entrepreneurial Data Scientist with experience in developing Machine Learning solutions to join our London-based 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 Scientist who is capable to design and build machine learning solutions for complex problems at the cutting-edge of life sciences. The primary focus of the role is to develop ML algorithms on high scale-high complexity data extracting information from historical sales data, clinical trials and peer-reviewed publications to generate data driven insights for various evidence planning strategies. The candidate should be able to analyse and understand complex business problems and develop analytical solutions to tackle and solve them.

There is an important research component, so a strong academic background on top of software development experience, is preferable.

There is also a significant component of engaging with senior stakeholders for requirements gathering, problem solving, and presentation of results.

In addition, the role offers a scope for development in other key areas:

• Product 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 product sales, 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 and individual career development will in part depend on the skill set and aspirations of the successful candidate.

Our ideal candidate: Experience

• MSc or PhD in Machine Learning, Computer Science, Physics, Bioinformatics or similar
• Analytical experience within a top academic or commercial organisation where data-led problem solving was core part of the role.
• Ability to communicate results to both technical and non-technical audiences
• Experience with the design and delivery of advanced machine learning projects in either academic or commercial settings.
• Experience with commercial life science and healthcare complex problems (e.g. market analysis, product launch optimisation, sales forecasting, 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
• Knowledge and understanding of drivers of pharmaceutical drug development and commercialisation, including drug development lifecycle; launch and commercialisation; competitor dynamics

Our ideal candidate: Tech Skills

• Experience with  processing, transformation, and integration of data coming from multiple sources
• Good knowledge of supervised machine learning methods, particularly gradient boosting classifiers (e.g. XGBoost, LightGBM)
• Experience in Bayesian inference
• Good programming skills in Python
• Understanding of what it takes to write clean code and some experience of the data science package landscape, for example numpy, pandas, matplotlib, etc.
• Experience with software development lifecycle
• Good knowledge of software development best practices including testing, continuous integration (CI/CD), and DevOps tools
• Experience with  processing, transformation, and integration of data coming from multiple sources

Bonus points for:

• Experience in explainability methods (e.g. SHAP, LIME)
• Good knowledge of deep learning methods (e.g. Convolutional neural networks, Recurrent neural networks, Transformer)
• Hands-on experience with Neural Network libraries (e.g. TensorFlow, Keras, PyTorch)
• Experience with time-series analysis and forecasting (e.g. ARIMA, ETS, Prophet, etc.)
• Experience in programming on major databases (Sql, Spark)
• Experience in NLP
• Experience with data related to (pharmaceutical ) product lifecycle
• 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.

The Team

You will join a high-profile team to work on an artificial intelligence backed predictive analytics software solution, providing data driven insights primarily into the impact / value of evidence and how to optimize evidence strategy. The predictive analytics are embedded in software which facilitates interpretation of the predictive analytics; stakeholder prioritization discussions; and evidence strategy decision making.

We are serious about healthcare software. We have a dedicated, collaborative team with meaningful shared goals who can use the most cutting-edge technology, the largest data sets, and the best analytics tools to achieve them. And we have fun on the journey!  We invite you to be part of a recognized global leader willing to challenge the status quo to improve patient care. You will be in good company, amongst some of the finest minds in Technology and Healthcare.

Why Join?

Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. In RWS, you will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.

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

We thank all applicants for their interest; however only those selected for interview will be contacted.

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.