Computational Cancer Genomics

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

Londre
France

Contacts
Javier Herrero
Email du/des contacts
javier.herrero@ucl.ac.uk
Description

<p>The UCL Cancer Institute is part of the Faculty of Medical Sciences and is the focus for<br />cancer research at UCL (www.ucl.ac.uk/cancer). 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 />(www.ucl.ac.uk/cancer/research/research-centres/immunotherapy-accelerator)<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 />(www.ucl.ac.uk/cancer/blic).<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/>
Laboratoire: UCL CANCER INSTITUTE