Research Assistant/Research Associate (EHR Data Scientist) (Fixed Term)

Professor Doctor Obi; Cambridge; Hybrid; GBP 32,000 - 46,000; Full time

Job summary

A leading university wishes to appoint a Research Assistant or Postdoctoral Research Associate with expertise in Electronic Health Records (EHR). The successful candidate will collaborate with clinical institutions and industry to advance research and develop common data models for mental health EHRs. The position offers a unique opportunity to work within a multidisciplinary team in a supportive research environment.

Qualifications

• Experience in Electronic Health Records (EHR) research required.
• Must have (or be close to obtaining) a PhD.

Responsibilities

• Develop common data models for mental health EHR research.
• Conduct epidemiological research on large-scale electronic datasets.
• Lead writing of research protocols and ethics applications.

Skills

Epidemiological research

Healthcare service research

Electronic Health Records (EHR)

Education

PhD or close to obtaining

Job description

Full Time, 1 year fixed term contract

We wish to appoint a Research Assistant or Postdoctoral Research Associate with experience in Electronic Health Records (EHR) research to work alongside the University Department of Psychiatry, clinical institutions such as Cambridgeshire and Peterborough NHS Foundation Trust, and with a secondment to industry (Akrivia Health) to advance science and develop common data models for electronic health records of people with mental disorders, under the guidance of Dr Osimo and Prof Murray at Cambridge, and a line manager to be selected at Akrivia Health.

The aim of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling.

The appointee will work with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and develop common data model specifications specific to mental health EHRs.

The team conducts research using de-identified EHR data acquired through the Clinical Records Anonymisation and Text Extraction (CRATE) and Clinical Record Interactive Search (CRIS) tools which enable the assembly of data from patients receiving mental healthcare in UK NHS mental health trusts.

The research programme is led by Dr Emanuele Osimo (Clinical Lecturer in Psychiatry and Mental Health Data Science) and Professor Graham Murray (Professor of Psychiatry and Neuroscience), who have conducted several studies to investigate clinical outcomes in mental disorders using real-world data derived from EHRs. Their research is readily available on Google Scholar and similar platforms.

The appointee will have a unique opportunity to develop skills in mental health research, epidemiology, and healthcare service research. The appointee will be expected to lead the writing of research protocols and ethics applications, publications in peer-reviewed journals, conference abstract and grant applications. They will join a highly productive research department with the opportunity to develop applications for independent postdoctoral research funding if appointed as a Research Associate.

The role will be based at Douglas House, Department of Psychiatry, Cambridge, and in Oxford, at Akrivia Health (where the postdoc will be seconded to), with the option of working flexibly for one/two days a week.

For further details of the post and the application process, please read the further particulars.

To apply online for this vacancy and to view further information about the role, please click the 'Apply' button above.

Applicants must have (or be close to obtaining) a PhD.

Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £34,132) moving to Research Associate (Grade 7) upon confirmation of your PhD award.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

£32,546 to £45,413 per annum