We advertise job and internship opportunities for positions within the core CLOSER team, as well as vacancies based at our partner studies.
If you see a role you would like to apply for, please follow the specific application instructions stated in the job description.
CLOSER Metadata Officer
Department: Social Research Institute, UCL Institute of Education
Location: Bloomsbury, London
Hours: Full time
Salary: £29,152 to £34,153 per annum
Deadline for applications: 23.59 on 30 July 2021
A full job description and person specification can be found on the UCL job listing.
CLOSER, the home of longitudinal research, brings together world-leading longitudinal studies with participants born throughout the 20th and 21st centuries. Our work maximises the use, value and impact of longitudinal studies to help improve our understanding of key social and biomedical challenges.
We are expanding the team and are looking for a Metadata Officer who will be responsible for the creation and enhancement of metadata for use in CLOSER Discovery. This will involve entering and verifying a large set of surveys into a specialist system designed to meet the DDI-Lifecycle metadata standard. Both the standard itself and the surveys involved are extremely complex and the post holder will need to make timely and considered judgements to ensure consistency across the range of metadata being entered.
The post holder will be expected to work closely with DDI-Lifecycle experts and liaise with CLOSER partners to ensure the accuracy and suitability of the metadata, as well as line manage Metadata Assistants.
The post is available until March 2022 in the first instance.
You will have a first degree or recognised equivalent qualification or equivalent experience in a subject relevant to the role such as humanities, social sciences, mathematics, computer science or other subject areas and experience of working with complex data and data concepts.
You will have a high degree of accuracy in your work, be detailed orientated and work in a methodically way.
Experience of working with metadata and an interest in social research are not essential but would be an advantage.
To apply for this vacancy, please click ‘Apply now’ button on the UCL job listing page.
If you have any queries regarding the vacancy, please contact Dr Hayley Mills on email@example.com
Senior Research Associate – Data Scientist (University of Bristol)
Faculty/University: Faculty of Health Sciences, University of Bristol
Grade: J / Pathway 2
Salary: £38,017 – £42,792 per annum (pro rata if part time)
Work pattern:1FTE / Full time / Part time considered
Deadline for applications: 12 July 2021
The University of Bristol is seeking a quantitative researcher with strong skills in advanced data analytics, econometrics and/or statistics for a Senior Research Associate post to work with supermarket loyalty cards big data, joining a rich interdisciplinary research environment at the Population Health Sciences at the University of Bristol. The appointment is for one year in the first instance, with possible funding for an extension.
What will you be doing?
This is an exciting and unique opportunity for a researcher to play a key role in the development of a novel methodology in population health. As the successful applicant you will conduct research activities within the multidisciplinary Transaction Data for Population Health UKRI programme funded through Dr Anya Skatova’s UKRI Future Leaders Fellowship. The programme aims to create, test and evaluate techniques to use individual shopping histories data – recorded through supermarket loyalty cards – for population health research.
As the successful applicant you will work on two main projects with loyalty card data resulting in first author publications. You will analyse loyalty card data for projects relevant to population health, with scope to develop projects depending on role holder’s background and interests. Possible topics include: 1) epidemiology of diseases including case when symptoms have not been recorded though medical system (e.g., management of different types of chronic pain over time, improvement in early diagnostic of ovarian and bowel cancers), 2) better understanding risk factors for consumption driven health outcomes (e.g., cancer, diabetes, cardiovascular), and 3) how decision-making and choice behaviours over time is associated with health outcomes and addictive behaviours (e.g., alcohol and tobacco consumption, diet, adherence to medication). As the successful applicant you will also be encouraged to contribute to collaborative grant proposals or/and develop individual fellowship proposal to continue work with loyalty cards data.
You should apply if:
- You have a PhD in computer science, epidemiology, statistics, behavioural science, economics, geography, psychology or related discipline, have expertise in working with databases (e.g., SQL, Linux) and employing advanced data analytics.
- You have strong computing/scripting skills (e.g., in Python and/or R), and publications in high quality journals.
- You have a strong interest in population health and excited at the prospect of exploiting commercial data for population health research.
Further information and how to apply
For further information about this post, including the job description and information on how to apply, please visit the University of Bristol job listing.