Research Fellow - Bioinformatics Scientist

UCL; Greater London; On-site; GBP 40,000 - 50,000; Full time

Job summary

A leading UK research university is seeking a self-motivated bioinformatician post-doctoral fellow to investigate cancer evolution in relation to the tumor immune microenvironment. This fixed-term role for 2 years supports collaborative research within a pioneering cancer study involving multi-regional matched tissue analysis. Candidates must have a PhD or be eligible for Research Assistant position. A strong background in bioinformatics and cancer projects is essential, alongside excellent teamwork and communication abilities.

Benefits

Competitive salary

Research opportunities

Professional development

Qualifications

• Experience working on cancer research projects.
• Proven ability in bioinformatics.
• Strong communication skills.

Responsibilities

• Conduct research on cancer evolution.
• Analyze data related to the tumor immune microenvironment.
• Collaborate with local and international teams.

Skills

Collaborative teamwork

Self-motivation

Bioinformatics expertise

Education

PhD in a relevant field

Job description

Overview

University College London (UCL) is a leading UK research and teaching university with one of the largest Biomedical Faculties in Europe. The project focuses on exploiting longitudinal sequencing data from the TRACERx and PEACE studies to explore cancer evolution, the immune microenvironment driving metastatic disease progression, and drug resistance. The TRACERx and PEACE consortia, and the CRUK Lung Cancer Centre of Excellence, provide a multi-disciplinary, collaborative environment for translational cancer evolution research.

Prof. Mariam Jamal-Hanjani is Principal Investigator of the TRACERx study at UCL and Chief Investigator of the PEACE study. The Jamal-Hanjani Lab collaborates with local and international scientists and clinicians across TRACERx, PEACE, and related consortia to provide an opportunities-rich environment for the successful candidate to participate and grow as a scientist.

The TRACERx study is a UK-wide lung cancer evolution programme that began in 2014 and has recruited over 820 patients. It is the first longitudinal cancer genomics study forming the first national UK consortium focused on cancer evolution over space and time, supported by strong bioinformatics facilities, data storage and computing power.

The PEACE study is a pan-cancer national research autopsy programme enabling post-mortem sampling from all sites of metastasis. PEACE has recruited over 400 patients and performed over 280 autopsies to investigate biological processes underpinning metastatic disease, including genomic and metabolic drivers and the failure of the adaptive immune system. This research autopsy resource supports exploration of these questions.

Both TRACERx and PEACE, with patient co-recruitment, create a resource of multi-regional matched primary and metastatic tissue and enable tissue- and blood-based analyses from diagnosis to death.

The position is fixed term for 2 years.

About you

We are seeking a collaborative and self-motivated bioinformatician post-doctoral fellow to work on cancer evolution in the context of the tumour immune microenvironment.

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 backdated to the date of final submission of the PhD thesis.

Applications should include a CV and a Cover Letter. In the Cover Letter please provide evidence of the essential and desirable criteria in the Person Specification part of the Job Description. By including a Cover Letter, you may leave blank the "Why you have applied for this role" field in the application form, which is limited in character count.

For benefits information, please refer to the UCL rewards and benefits page and equality, diversity and inclusion page: 1) https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits 2) https://www.ucl.ac.uk/equality-diversity-inclusion/

Customer advert reference: B02-10105