Computational Biologist (Research Fellow)

About the role

We have an exciting opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within the group led by Professor Sanjay Sisodiya.

You will join an established team of bioinformaticians and clinicians with a strong track record of innovation and high-impact research in epilepsy genomics. You will apply statistical expertise to design and implement methods for the integration and analysis of data sets from research projects investigating the genetics of epilepsies.

You will be responsible for a range of research activities, amongst which will be working closely with the bioinformaticians in the team on genomic, clinical and other data in epilepsy, and close collaboration in research projects aiming for clinical application across the group, and through collaborative external projects, such as with Genomics England Ltd () and other national and international initiatives.

The post is based at Queen Square and the renowned Chalfont Centre for Epilepsy in Buckinghamshire, which houses translational research facilities and onsite laboratories.

The role is available from 01 September and funded by the Epilepsy Society until 31 May in the first instance.

This role is eligible for hybrid working with between 40-60% of time on site.

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 ().

Informal enquiries regarding the role can be addressed to Professor Professor Sanjay Sisodiya (). 

A full job description and person specification for this role can be accessed below.

About you

You will have a PhD in Computational Biology, Applied Mathematics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science, Neurological Genetics or a closely related discipline.

Excellent oral and written communication skills, strong problem-solving abilities, an interest in research and a commitment to supporting high quality research and a very high level of consideration for patients and research subjects is key for this role.

Expert knowledge and experience working in a Linux server environment and experience in computational genomics is also essential, as is experience in scripting and/or programming using languages such as Bash, C, C++, or Python.

This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

What we offer

Appointment as Research Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be as Research Assistant (salary £38, - £41, per annum) with appointment as Research Fellow being backdated to the date of final submission of the PhD thesis.

As well as the exciting opportunities this role presents, we also offer great benefits, some of which are below:

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