At a Glance
- Tasks: Analyse smartphone data and combine large datasets to improve Parkinson's patient care.
- Company: Join the Oxford Parkinson’s Disease Centre, a leader in clinical research.
- Benefits: Competitive salary, access to cutting-edge research, and opportunities for professional growth.
- Other info: Full-time role with potential for impactful career development in a dynamic research environment.
- Why this job: Make a real difference in patients' lives through innovative research and technology.
- Qualifications: Experience in statistical analysis and familiarity with machine learning techniques.
The predicted salary is between 47779 - 47779 £ per year.
Location: John Radcliffe Hospital, Headington, Oxford, OX3 9DU
Reporting to the Cohort Principle Investigator (Professor Michele Hu), the post holder of this role is a member of the Oxford Parkinson’s Disease Centre (OPDC) clinical research group. Established in 2010, the OPDC cohort follows up 1700 individuals with PD, prodromal PD and control participants longitudinally, both at home and in clinic. Omics data collected includes genetics, metabolomics, proteomics (Olink and NULISA) integrated with imaging and digital biomarkers.
We are increasingly able to collect data about patients outside of a controlled hospital environment, with plans to link data to NHS digital health records by 2027. The postholder will work with the clinical research team to help quantify symptoms using objective measures of behaviour and sleep patterns in daily life environments alongside clinical and omics data, translating key findings into clinical practice and therefore patient care.
The postholder will focus on combining large datasets using active and passive digital testing, including an 8-minute smartphone test used to predict outcomes of relevance to people with Parkinson’s Disease (PD), with a key role of this job being to assist in the analysis of the smartphone data recordings.
The successful applicant will work closely with our senior postdoctoral scientist on Deep learning and Machine Learning Algorithm (MLA) approaches to diagnose, stratify and measure progression in Parkinson’s and prodromal Parkinson’s patients from the OPDC Discovery cohort. They will have full access to the wealth of omics data collected longitudinally in the cohort.
This post is full time and fixed term for 12 months in the first instance. Only applications received before midday 12:00 on Friday 24th July 2026 will be considered. Interviews will be held as soon as possible thereafter. £39,424 to £47,779 per annum (Grade 7)
Postdoctoral Statistical Scientist in Parkinson's Disease in Oxford employer: University of Oxford
The University of Oxford is an exceptional employer, offering a vibrant research environment that fosters creativity and innovation in neuroscience. With access to cutting-edge facilities and a collaborative work culture, employees are encouraged to grow professionally through various development opportunities. Located in the historic city of Oxford, the university provides a unique blend of academic excellence and cultural richness, making it an ideal place for those seeking meaningful and impactful careers in research.
