Computational Cancer Genomics

Type de poste
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce


Javier Herrero
Email du/des contacts

<p>The UCL Cancer Institute is part of the Faculty of Medical Sciences and is the focus for<br />cancer research at UCL ( Located in the heart of London, the Institute&rsquo;s<br />activities and space are spread across 5 buildings and 2 campuses, the Paul O&rsquo;Gorman<br />Building being the central research hub, with around 300 scientists conducting basic and<br />translational research.<br />&nbsp;</p><p>The CRUK Cancer Immunotherapy Accelerator (CITA) Network has been developed to<br />maximise the potential of immunotherapeutics to cure more cancer sooner. The CITA Network<br />will serve as a hub for an inter-disciplinary programme, integrating key expertise across<br />University College London and UCL Hospitals, King&rsquo;s College London, the Francis Crick<br />Institute, the Royal Marsden Hospital, and Barts. We envisage this Network as a primary UK<br />focus for understanding, implementing, and aiding cancer immunotherapy incorporating a state-<br />of-the-art immune-monitoring and discovery core (IMDC) with expertise in multi-parameter flow<br />and mass cytometry, functional immunology, multiplex immunohistochemistry, genomics,<br />proteomics, bioinformatics and an Immuno-Oncology Clinical Trial and Training Programme.<br />(<br />&nbsp;</p><p>The CITA Network is seeking a Senior Research Associate to provide bioinformatics support<br />and expertise. The post will work within the Computational Cancer Genomics Group, headed<br />by Dr. Javier Herrero, which occupies the newly built Bill Lyons Informatics Centre<br />(<br />&nbsp;</p><p>The successful candidate will lead the analysis and integration of data produced from the IMDC,<br />with a focus on Lung cancer, Renal cancer and Melanoma involving mass spectrometry, flow<br />cytometry, CyTOF, genomics and transcriptomics data. Such data will arise from several cancer<br />immunology projects, including the TRACERx programme lead by Prof. Charles Swanton and<br />Dr. Sergio Quezada at the UCL Cancer Institute and James Larkin and Samra Turajlic at the<br />Francis Crick Institute and the Royal Marsden Hospital.<br />&nbsp;</p><p>The ideal candidate will have a PhD in computational biology and a strong background in<br />quantitative mass spectrometry-based proteome analysis. In addition, experience in NGS-based<br />genome, and transcriptome analysis is required. A good understanding of cancer immunology<br />would be a plus. You will be collaborating with other researchers within the CITA Network in the<br />interpretation of experimental results. You will be responsible for leading the analyses,<br />developing the corresponding pipelines and will be involved in data management plans.<br />&nbsp;</p><p>DUTIES AND RESPONSIBLILTIES:</p><p>1. To conduct and lead proteomics data analysis in collaboration with the Proteomics<br />Research Core Facility at the Cancer Institute. This will include the development and<br />execution of workflows for the analysis of large scale label-free and label-based mass<br />spectrometry data.<br />2. To conduct NGS-based analyses using DNA-seq and RNA-seq data in collaboration<br />with other research groups in the Cancer Institute.<br />3. To work with biostatisticians in implementing the relevant mathematical/statistical models<br />to interrogate mass spectrometry, NGS or array-based data and derive meaningful<br />biological conclusions.<br />4. To integrate the aforementioned data (e.g. genomics and proteomics) for addressing<br />complex biological questions.<br />5. To integrate within the TRACERx team and lead cross-discplinary informatics projects<br />between the Herrero, Swanton and Quezada laboratories investigating tumour<br />microenvironment phenotypic and transcriptomic data with cancer genome sequencing<br />data.<br />6. To develop novel algorithms, tools and/or analysis pipelines.<br />7. To document these and ensure the reproducibility of the results.<br />8. To analyse and summarise research results and write reports.<br />9. To support and advise other projects across the CITA Network and Cancer Institute.<br />10. To contribute to collaborative projects.<br />11. To contribute towards the training of students.<br />12. To write and contribute to the writing of publications and grant applications.<br />13. To attend research seminars, departmental meetings or conferences as required.<br />14. To participate in any laboratory duties commensurate with the grade as required.<br />15. To comply with the Health &amp; Safety regulations of the department.<br />16. To be aware of and act upon:<br />Disciplinary procedure and Disciplinary rules<br />Grievance procedure<br />Section 7 and 8 of the Health and Safety at Work Act<br />Departmental Fire Guidelines<br />Equal Opportunities Policy</p><p><br />The hours of work and the distribution of these are at the discretion of the Head of Department.</p><p><br />University College London has adopted an equal opportunities policy and specific regard should<br />be taken of its content in relation to the treatment of employees or potential employees.</p><p><br />Please note that UCL operates a system of cashless pay directly into a bank or building society<br />account. All new employees are, therefore, required to have an account with a bank or building<br />society as soon as they commence their appointment. Failure to produce bank details on the first<br />day will result in a delay in payment.<br />&nbsp;</p><br/>