Data Scientist

Job content

Real-World Analytics & AI, RWS Technology

We are looking for a creative, innovative, intellectually curious and entrepreneurial Data Scientist with experience in developing Machine Learning software 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 Analytics 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 keen to build machine learning products at the cutting-edge of life sciences. The primary focus of the role is to develop ML algorithms on high scale-high complexity rich medical data to predict answers to healthcare challenges. There is an important research component, so a strong academic background and some software development experience is preferable (the role includes opportunity to publish and participate in academic conferences).

In addition, there is 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, based on State-of-the-Art Machine Learning methodologies
• 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, Neuroscience or similar
• Analytical experience within a top academic or commercial organisation where data-led problem solving was core part of the role.
• Experience with the design and delivery of advanced machine learning projects in either academic or commercial settings.
• 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, and communicate clearly to provide insights based on research and analysis outputs .
  

Our ideal candidate: Tech Skills

• Good knowledge of deep learning methods (e.g. Convolutional neural networks, Recurrent neural networks, Transformer)
• Hands-on experience with Neural Network libraries (e.g.Keras, PyTorch).
• Good knowledge of supervised machine learning methods, particularly gradient boosting classifiers (e.g. XGBoost, LightGBM)
• 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.
  

Bonus points for:

• Experience with explain ability methods (e.g. SHAP)
• Experience with Graph Neural Networks
• Experience in causal inference
• Experience with healthcare data (e.g. patient-level, longitudinal data)
• Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
• Work in bioinformatics.
• Knowledge of healthcare / life science issues involving Real-World Evidence.
  

The Team

Our Machine Learning & Artificial Intelligence team within the RWA & AI Solutions Technology division is a fast-growing group of collaboratives, enthusiastic, and entrepreneurial individuals. In our never-ending quest for opportunities to harness the value of Real-World Analytics, 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.

You will join this high-profile team to work on a wide range of 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 Machine Learning & Artificial Intelligence Analytics teamwork together with statisticians, epidemiologists and disease area experts across the wider global team, leveraging a vast variety of anonymous patient-level information from sources such as electronic health records.

Why Join?

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.

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 maximize their personal potential.

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com