Analytics Research Accelerator
Analytics Research Accelerator is a revolutionary, scalable, and extensible web-based platform for delivering Real-World Insights, that features the world’s largest unparalleled health data collection.
We are hiring a Data Engineer to play a vital part in an agile team, where you will be involved in creating, documenting, and validating core health analytics software.
What to expect
- Development and documentation of analytical algorithms and automated statistical applications within a best practice software engineering framework using Python.
- Working alongside team members, Product Owners, and Software QA to create solutions which integrate with systems, products and processes supporting the life science and healthcare sectors
- Participating in Agile practices such as daily stands ups, sprint planning, sprint refinements, and retrospectives, working to fortnightly sprints and taking part in bi-weekly demos
- Very friendly and informal working environment
- Regular Innovation weeks – Where the data science and development teams are given the chance to work on their projects and showcase their work at the end of the week
Our ideal candidate will have
- Professional experience of using data science toolkits for Python, such as Pandas, NumPy, Dask, Plotly
- Sound understanding and previous experience with classical statistical methods (such as distributions, statistical testing, regression, survival methods) on healthcare data for medical research.
- Experience in manipulating and analyzing medium-sized to large real-world datasets.
- Proven experience of improving software quality and maintainability by code refactoring and writing unit tests using testing frameworks (e.g., pytest, unittest); applying TDD
- Software engineering exposure including agile methods and the usage of software development concepts and tools (such as Git).
- Ability to work with data owners and cross-functional teams in a commercial data science environment.
- A proactive, creative, innovative, and pragmatic approach to problem-solving and an ability to think critically and independently.
- Qualification from accredited university in Statistics, Data Science, Mathematics, (quantitative) Epidemiology, or relevant and equivalent experience
- Previous experience in writing algorithms for prospective or retrospective database studies
- Knowledge of epidemiology / biostatistics, particularly analytical issues relating to studies of treatment effectiveness, disease progression, adherence, healthcare utilization, etc.
Why Join?
Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. 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.
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.
It's an exciting time to join and reimagine what's possible in healthcare.
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.
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
IQVIA is a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare – and human health – forward. Together with the companies we serve, we are enabling a more modern, more effective and more efficient healthcare system, and creating breakthrough solutions that transform business and patient outcomes.
To get there, it takes diverse skills and a curiosity to explore new possibilities. No matter your role, everyone at IQVIA, including our colleagues at Q2 Solutions, contributes to our shared goal of improving human health. Thank you for your interest in growing your career with us.