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Ref Number B02-09056 Professional Expertise Laboratory Technical and Lab Support Department School of Life & Medical Sciences (B02) Location London Working Pattern Full time Salary £35,930-£41,255 Contract Type Fixed-term Working Type On site Available for Secondment No Closing Date 03-Aug-2025
About Us
We are looking for a Research Data Technician/Analyst to be a key part of a collaborative research project titled "VAMP2 associated SNAREopathies: from mechanism to therapeutic approaches", which will be conducted jointly between the Department of Neuromuscular Diseases and the DCEE, bringing together expertise in genomics, molecular mechanisms, and translational research to investigate VAMP2-related SNAREopathies and explore potential therapeutic strategies.
The Department of Neuromuscular Diseases is a hub for clinical and research excellence across the spectrum of spinal cord and neuromuscular diseases. Our group of world-leading clinical, genetic and basic science researchers focus their work on understanding the causes and biological mechanisms leading to Neuromuscular Diseases and translating this knowledge into developing novel therapeutic solutions that is of direct benefit to neurological disorders.
The mission of the Department of Clinical and Experimental Epilepsy (DCEE) is to transform the lives of people living with epilepsy for the better by identifying, understanding and correcting or preventing the underlying mechanisms leading to the epilepsies and associated comorbidities in each individual person.
About The Role
You will support the Principal Investigators and a research team with managing and analysing genetic, biological, and clinical datasets generated through UCL research and collaborations. You will work with the team to classify and interpret genetic variants from multiple sequencing databases, extract and curate clinical data, and liaise with referring clinicians to ensure accurate genotype-phenotype correlation.
You will contribute to data analysis, genetic variant curation, and laboratory-based validation studies supporting this research. This is a great opportunity to develop expertise in genomics, data management, and clinical research databases while making your own contribution to scientific discovery and translational research.
The role is available immediately and funded by the Medical Research Council (MRC) for one year in the first instance.
If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin@ucl.ac.uk).
Informal enquiries regarding the role can be addressed Professor Henry Houlden (h.houlden@ucl.ac.uk).
A full job description and person specification for this role can be accessed below.
About You
You’ll hold an MSc (minimum of merit or equivalent) in Genetics, Neuroscience, Data Science, Biomedical Sciences, or a related discipline, and must demonstrate a strong commitment to data confidentiality and ethical handling of patient and research information.
Experience in variant classification, interpretation, and curation is essential, as is familiarity with basic laboratory techniques, including DNA extraction, PCR/Sanger sequencing analysis, and RT-PCR for variant validation and confirmation. Excellent attention to detail is also crucial for this role.
This role does not meet the eligibility requirements for a Skilled Worker Visa certificate of sponsorship under UK Visas and Immigration legislation. Therefore UCL will not be able to sponsor individuals who require right to work in the UK to carry out this role.
What we offer
As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:
* 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
* Additional 5 days’ annual leave purchase scheme
* Defined benefit career average revalued earnings pension scheme (CARE)
* Cycle to work scheme and season ticket loan
* Immigration loan
* On-site nursery
* On-site gym
* Enhanced maternity, paternity and adoption pay
* Employee assistance programme: Staff Support Service
* Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
We will consider applications to work on a part-time, flexible, and job share basis wherever possible.
This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.
Our commitment to Equality, Diversity and Inclusion
The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visitour EDI websitefor more information about our initiatives and priorities. The Institute also holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce; these include people from Black, Asian and ethnic minority backgrounds, disabled people, LGBTQI+ and gender diverse people in all roles, and women in Grade 9 and 10 roles.
Available documents
Attached documents are available under links. Clicking a document link will initialize its download.
* download: 2025-07-Research Data Technician & Analyst (Houlden, NMD)-Job Description & Person Specification.pdf
* download: UCL Guidance for Candidates.pdf
Seniority level
* Seniority level
Not Applicable
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Higher Education
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