Francis Crick Institute

Postdoctoral Training Fellow (BB-B5A84)

Found in: Talent UK

Job DescriptionJob title: Postdoctoral Training Fellow Location: The Francis Crick Institute, Midland Road, London Contract: Fixed-term, 3 years - Full timeClosing date: 22 April 2021 at 23:59Summary:An exciting opportunity to be part of a pioneering biomedical research institute, dedicated to innovation and science. A postdoctoral research post in the laboratory of Samra Turajlic (Cancer Dynamics, ) is now available. We are seeking a collaborative and self-motivated post-doctoral bioinformatician to work on an exciting tumour evolution project, collaborating with a network of groups across The Francis Crick Institute, UCL Cancer Institute and the Institute of Cancer Reserach. The position will involve analysis of data from large-scale tumour evolutionary trials such as the TRACERx and PEACE studies. These studies have made a wide number of successful contributions to the field of tumour evolution and achieved an excellent track record of high impact output. This project sits at the interface of basic and translational research, and will be utilising a rich multi-omic dataset (bulk and single cell) generated from patient tumour samples, from large-scale trials run locally. The role is ideally suited for a creative individual with a strong interest in cancer genomics, cancer evolution, evolutionary biology, and software / pipeline development in a leading academic setting.The successful applicant will have a proven track record in cancer bioinformatics, with previous experience of NGS data analysis, be fluent in at least one of the following programming languages: Python or R, and is expected to have strong skills in either: genomics, cancer biology or evolution. Prior experience with data analysis based on integrating large datasets is particularly desired. The position will be based within a multi-disciplinary team of cancer evolutionary biologists, wet-lab scientists and translational research clinicians concerned with both basic evolutionary principles and application of evolutionary rules in the clinic. The lab also has a strong focus on understanding anti-tumour immune response. The applicant will have opportunity to develop collaborations nationally and internationally, and there will be an opportunity to engage with our industry and academic partners. The candidate will work closely with other computational scientists at Francis Crick Institute and have ample opportunities to develop their skills. A comprehensive computational infrastructure is available, with access to multiple HPC clusters.Project scope:The proposed project leverages three programmes: TRACERx Renal (Dr Samra Turajlic leads the TRACERx Renal initiative, a large scale longitudinal genomics study in renal cell carcinoma utilizing deep multi-region tumour and niche profiling. The focus of the project is the investigation of, cancer evolution through development of high throughput bioinformatics techniques to decipher clonal evolution, selection and influence of the tumour microenvironment, immune system and cancer therapy. The successful applicant will be employed by the Francis Crick Institute and based within Dr Turajlic’s group, within a multi-disciplinary team of cancer evolutionary biologists and cancer translational research clinicians working on a wide range of projects funded by Cancer Research UK, and RMH Biomedical Research Centre. The Francis Crick Institute offers and impressive computational infrastructure and additional resources are available through the CRUK City of London Centre and eMedLab.For further details you can contact The primary duty of the post-holder will be to conduct bioinformatics discovery analysis, into the evolutionary drivers of metastasis and tumour progression. The project will make use of what is thought to be one of the world’s largest datasets of genomic/transcriptomic data from cancer evolution trials. Sequencing data is complimented by a wealth of supporting data-types, including imaging data, clinical and radiomics data.To work within the informatics team of the Turajlic lab, and collaborating groups at Francis Crick Institute and beyond.To conduct analyses of genomic, transcriptomic and imaging data, using established pipelines.To employ novel informatics techniques based on tumour evolution principles.To employ novel informatics team to apply to cell-free and single cell dataTo liaise and coordinate between the project collaborators.To understand tumour evolution and the relevant literature sufficiently to propose novel ideas.To record all analyses in an accurate, timely and clearly presented manner, and use this to prepare data summaries and reports as and when required.To attend, and report research results at regular group meetings.To contribute to the dissemination of scientific results by means of writing papers for publication, and presenting orally and in poster form at national and international meetings.Any other duties appropriate to the scope and grade of the post. The job description may be subject to review and amendment in consultation with the post holder as job duties change/developKey Experience and CompetenciesPost-doctoral qualification (PhD) in Bio-informaticsFluent in at least one of the following programming languages: C++, Python or RExcellent understanding of mathematics and statistics, including experience of Baysian statistitcsEvidence of independent and original contribution to researchPrevious experience of multidisciplinary workingAbility to manage projects to timelines, analyse, present and write up data in a timely mannerExcellent presentation skills- including at international conferencesExcellent general computational skillsAbility to represent the PI at meetings and conferencesExcellent inter-personal skills and commitment to team-workExperience in the field of evolutionary biology/cancer evolution is desiredExperience with machine learning is desirableAdvertised Salary RangeAdvertised Salary RangeCompetitive with benefits, subject to skills and experienceOffer RequirementsSkills/QualificationsPhD

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