|Salary:||£45,610 to £53,757 per annum, inclusive of London Allowance (grade 8)|
|Placed On:||12th October 2021|
|Closes:||1st November 2021|
Location: London (remote working from the UK can be considered)
This post is available until 31st March 2023 in the first instance. Longer term (3 years) funding for this post is expected to be confrimed in Q1 2022.
Interview Date: TBC
Full Time (Job share considered)
The Centre for Longitudinal Studies is an ESRC Resource Centre within the Social Research Institute. CLS has responsibility for and manages four of Britain's internationally renowned cohort studies:
1958 National Child Development Study (NCDS)
1970 British Cohort Study (BCS70)
Millennium Cohort Study (MCS)
Next Steps (formerly the Longitudinal Study of Young People in England)
A major expansion is underway with the availability of new genetic data (e.g., ‘trios’ of natural parents and children in MCS, and new genetic and methylation data in NCDS and BCS70). Through this appointment, CLS is seeking to develop, manage and share widely these genetic data resources.
In this exciting role you will be responsible for the management, storage curation and maintenance of the CLS cohorts’ genetics data, and for developing CLS cohorts’ genomic data resources, for example through developing pipelines to curate data and create polygenic risk scores.
You will also be responsible for the release of the genetics datasets to approved data sharing applicants in compliance with data governance regulations, and act as the main point of contact for all genetics data related queries concerning data quality, availability and delivery.
You will have a MSc in data intensive field such as Data Science, Genetics, Statistics, Epidemiology, Bioinformatics, Health Informatics, Computer science or related field; or equivalent expertise/experience.
You will be familiar with standard computational tools of statistical genetics and have advanced programming experience with scripting languages (e.g., R, Python), with the ability to elicit and validate requirements as well as scripting, debugging and improving scripts.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
If you have any queries regarding the vacancy, please contact Aida Sanchez on firstname.lastname@example.org
Previous applicants for CLS data management positions need not apply.
Latest time for the submission of applications: 23:59.
We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level.
We will consider applications to work on a part-time, flexible and job share basis wherever possible.
Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality.
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