Data Science Software Developer at IQVIA, The Human Data Science Company (London, UK)
We are looking for a confident, innovative and intellectually curious data-science software developer to join our London-based Predictive Analytics team. This is an exciting opportunity to work in one of the world’s leading RWE teams, with access to the world’s largest set of healthcare information and the latest technology platforms and analytics software. We are looking to speak to you if you prefer to code in Python, C++ and Java.
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 works 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. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers.
This is an exciting role for a commercially experienced data science-driven software developer who enjoys tackling tough problems of a statistical nature. You will be an integral part of the Predictive Analytics team, advancing the team’s analysis and modelling stack such that projects can be executed more efficiently and with improved accuracy. You should want to automate your job away, so that repeated tasks are scalable, and fresh challenges and novel approaches can be pursued. Strong communication skills across disciplines is essential, in order to collaboratively plan and execute end-to-end solutions with a range of experts including data scientists, software engineers, product owners and system architects.
A typical day might include:
- Supporting other data scientists in the use of the systems you build for the successful delivery of machine-learning client projects.
- Working closely with data scientists and software engineers to automate tasks and roadmap improvements for project design and execution.
- Carrying out a variety of product development initiatives, from requirements gathering to prototyping.
- Supporting the on-going build and maintenance of a cloud-based machine learning platform for project delivery and product development.