Location: Oxford, with potential to work remotely
Hours: 80-100% flexible
Must be eligible to work in the EU
We are looking for someone with data science/analytic skills, who likes to learn, code and try cool new things to join our small and enthusiastic team of researchers and health consultants based in Oxford.
We provide patient engaged, evidence-based and up-to-date information about cancer and other disease areas with our mobile app technology and we have a unique position to provide and communicate authoritative statistics and analysis, to inform, inspire and raise awareness of disease types as communicated by patients themselves.
Do you have a year or two of experience as a data analyst or have you recently graduated from a degree with a scientific, public health or numerical component? Join us in a fulfilling starter role and develop your analysis, interpretation and communication skills to provide data and exciting new patient reported evidence from our proprietary real-world evidence platform.
We’re looking for a driven and self-starting individual to:
Contribute to the management, analysis, interpretation and communication of statistical information collated on our real-world evidence platform, including organizing large datasets
Obtain actionable insights from them (finding innovative ways to combine fields of data that don’t naturally mesh together, building complex models and advanced algorithms)
Apply a creative approach to developing analytics, visualisations and insights
Support regular updating and checking of outputs containing statistical information, used by a range of audiences including data for publication and conference presentations
Help answer statistical enquiries from internal team members and clients
Identify and advise on the accurate and appropriate use of data statistics and mentoring for fellow staff with non-technical roles
Work on specific tasks with autonomy and proactivity, meeting deadlines, delivering to a high standard of excellence and contributing strongly to a small team
Assist in scoping and testing viability of new technologies including machine learning, etc.
As a Data Scientist within our team, you’ll help us source, create and present high-quality statistical information and intelligence from the disease areas studied on our proprietary real-world evidence platform (we call it MyRealWorld™) to a wide audience, including pharmaceutical companies, policy makers, health professionals, researchers, patient groups and the public. You will also be supporting Vitaccess project management, across the consulting, health economics and market access business and the MyRealWorld™ platform.
We are looking for the following experience:
Degree with a scientific, public health or numerate component, or equivalent relevant experience working as a data analyst or data scientist
Experience of assimilating, analysing and presenting data to a variety of audiences
Strong knowledge of statistical methodology and the ability to analyse and present data on time and accurately
Competent technical knowledge and coding experience of using software to manage or analyse data. For us, being an R/VBA ninja would be particularly awesome, but experience of python, SAS, STATA or similar is good too
Confidence with the general data science toolset or proven ability to learn new software quickly including developing algorithms and predictive modelling
Experience in completing multiple ongoing projects and consequently can identify new problems without supervision
Knowledge and understanding of cancer and/or health statistics is desirable but not essential. The key is enthusiasm for on the job learning and having an interest in public health and projects that involve people and improving the patient experience
You’ll also need good organisational skills, with the ability to prioritise day-to-day tasks, meet urgent deadlines and work with a variety of staff and teams. You’ll need to be okay working autonomously as we operate flexible working patterns.
Bonus points for:
Languages other than English to a standard that is useful at work (i.e. we know the time and where the station is…although if you can order beers that’s never bad news).
Knowledge of leading international health systems.
If this sounds like you, excellent!