Salary: Grade 7: £32,236 - £39,609 p.a.
We want outstanding epidemiologists and health data scientists to work with us. You will deliver high impact research: more than that, you will help deliver tools that turn raw data into actionable insights for clinicians and patients.
The DataLab is an innovative mixed team of academics, programmers, and clinicians, pooling knowledge and skills, led by Dr Ben Goldacre. We publish high-impact academic papers: we also build live high-impact data-driven tools like OpenPrescribing.net which had over 100,000 unique users this year. All our tools are driven by complex and innovative analytic approaches under the bonnet, but with a clear focus on meeting the needs of real users to directly improve patient care with data.
We produce traditional epidemiology papers using the datasets and analytic tools we have created; descriptive and exploratory papers, blogs, and talks describing our services; and policy papers and presentations on better ways to use data in healthcare. Our research outputs include projects on research integrity, evidence-based medicine, prescribing, pathology testing, intellectual property, randomised trials embedded within our services, and policy insights.
This is a new and exciting post in which you will apply traditional and novel epidemiological techniques in new settings. You must be eager to learn new skills and establish a role in this rapidly growing mixed team. You will work on a range of projects including our new OpenPathology.net, a tool to help clinicians and others identify inappropriate testing, address under-use, improve patient care and increase cost-effectiveness.
You will work with clinicians and software engineers to aggregate, normalise and interpret new datasets; document findings and barriers to creating a new data service; develop novel and useful analytic approaches in our datasets; and carry out practical user-testing. You will contribute to a range of epidemiology research projects including the application of standard and novel epidemiological techniques to this data, with the potential to work on other NHS datasets including prescribing data, electronic health record data, and more. The successful candidate will collaborate on writing papers, develop ideas into grant proposals, and contribute to wider team activities, with opportunities to teach and supervise students.
This is an outstanding opportunity to join a fast moving and productive team: the two existing researchers on OpenPrescribing had 14 papers accepted for publication during 2018 (12 as first author); our tools and papers regularly receive national and international media coverage; the user numbers for our tools are extremely high.
The successful candidate will demonstrate a good understanding of epidemiology and evidence-based medicine. Ability to use SQL, or familiarity with agile software development and/or a language such as Python is ideal, but we will consider outstanding candidates who show potential. Good knowledge of NHS data and/or experience around pathology testing would be useful.
The post is full-time (with option for part-time), and fixed term for 12 months in the first instance, with outstanding prospects subject to continued funding. You will report to Dr Ben Goldacre, the Principal Investigator, and you will be based in the Radcliffe Primary Care Building, Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG.
The closing date for applications is 12.00 noon on Monday 17 June and we plan to hold interviews on Thursday 27 June.