Research Fellow/Senior Research Fellow - Bioinformatics

A position for a Research Fellow or Senior Research Fellow is available in the Sarcoma Genomics laboratory (www.sarcoma-research.com ) at UCL to analyse and integrate high dimensional data sets, specifically large whole genome sequencing generated in-house and through Genomics England (https://www.genomicsengland.co.uk/). Additional long read sequencing datasets from clinical samples have also been generated working closely with national and international experts in the field of cancer genomics.

The post-holder will refine existing computational methods developed in the laboratory and apply these genomic biomarkers to assess prognosis and treatment outcome for patients with sarcoma in well annotated cohorts. The post-holder will work as part of a well-established collaborative team focused on unravelling cancer genome complexity. There is also an opportunity to develop new computation methods using long read sequencing data with a particular focus on epigenetics.

The post is for 2 years in the first instance, with the possibility of extension for a further 4 years.

The post-holder will be expected to work closely with “wet” lab scientists, clinicians and other computational biologists. Applicants from computational or biological backgrounds will be considered, but proficiency in R or Python and Bash scripting will be prioritised. A familiarity with cancer genomics and machine learning algorithms is highly desirable.

Salary offered will be on UCL Grade 7 (£42,099 - £50,585) or Grade 8 (£51,474 - £60,521) per annum including London Allowance dependent on qualifications and experience.

Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.

Appointment at Grade 8 is at the discretion of the hiring manager, i.e., Dr Nischalan Pillay. In order to be considered for Grade 8, the candidate should have gained an independent research reputation with evidence of national or international recognition of achievements in their area of research. They should show evidence of original, completed and published research on which they are first or senior author, as well as a suitable publication record, and evidence of knowledge transfer/exchange activities. In addition, they need to have experience in leading small teams of researchers and giving talks at international workshops and conferences.

Informal enquiries regarding the vacancy can be made by email to Dr Nischalan Pillay at .

Candidates should hold or about to be awarded a PhD in either computational biology, bioinformatics, and/or statistical genetics with relevant experience in genomics, computational modelling work and bioinformatics and must have a proven track record of research achievements. Candidates should ideally have experience in analysing cancer genomic data and excellent programming skills in R or Python. Previous experience in cancer genomics, statistical analysis and machine learning would be an advantage. Candidates will need to have the initiative to work independently and as part of a team. Due to the highly interdisciplinary nature of this project, effective communication skills are key.

All applications must include a supporting statement telling us, using examples, how you meet the essential criteria listed in the job description. Applications without a supporting statement will be rejected.

The advert will close on 1st October 2024 at 23:59 GMT, however we may close applications early if we receive a high volume of applications. Early application submission is recommended.

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