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Research Fellow - OMICS Analytics/Statistical computing (Bioinformatics)

Job Details

Job Purpose

The Centre for Computational Biology and the Institute of Translational Medicine are seeking to recruit an experienced, energetic and creative researcher in the areas of biomedical data science and statistical computing applied to personalized medicine and systems genetics. The post-holder will be part of a large and diverse team and will be responsible for integration and analysis of trauma patient data derived from metabolomics-based approaches, including steroidomics, and high-throughput genetics. An excellent network of biomedical and technological collaborations offers novel data types and datasets, as well as opportunities for discovery validation and translation into clinic or pharma by domain experts.

The postholder will part of the NIHR Surgical Reconstruction and Microbiology Research Centre (NIHR SRMRC) http://www.srmrc.nihr.ac.uk/ which is a collaborative venture between the NIHR (DoH), the Ministry of Defence (RCDM), UHBFT and UoB. It has been established for 5 years and has recently been awarded a further 3 years of funding totalling £6million. The core aim of the NIHR SRMRC is to provide an unrivalled research environment to improve the care of those who sustain major injury in both military and civilian settings.
The post-holder’s main aim will be to facilitate the analysis of experimental and clinical data using mathematical and statistical tools, to build up models allowing prognosticating disease evolution, treatment outcome and resistance. We anticipate that new statistical and computational methods will need to be developed to support this aim. The position requires the ability to independently take responsibility over a scientific project, strong teamwork and communication skills, reliability, attention to detail and effective time management.
The duration for the post will be three years offering a considerable scope for innovation and academic development

Person Specification

Main duties

  • • Analyse large molecular datasets deriving from metabolomics-based approaches, including steroidomics, as well as methylation and next generation sequencing (DNA-seq, RNA-seq, Chip-seq) data
  • • Design and apply bioinformatics algorithms such as unsupervised and supervised machine learning, statistical and graphical algorithms
  • • Provide statistical and computational tools for biologically based activities such as immune functional assays and cell frequencies analysis
  • • Consult with researchers and clinicians to analyse problems, design studies, recommend technology-based solutions or determine computational strategies
  • • Manipulate and analyse large datasets related to metabolomics, steroidomics and methylation
  • • Communicate research results through conference presentations, scientific publications or project reports
  • • Participate in the supervision and training of technicians and information technology staff applying bioinformatics tools or applications in areas such as metabolomics and clinical bioinformatics
  • • Keep abreast of new methods, instrumentation, or software by reading scientific literature and attending professional conferences
  • • Aid in the development of bioinformatics tools, pipelines and processes to acceptable standards of quality and accuracy suitable for the analysis and interpretation of metabolomics, steroidomics, methylation and NGS data for a broad range of research applications
  • • Test, validate and implement bioinformatics applications for research applications


General

  • • Analyse and interpret data
  • • Apply knowledge in a way which develops new intellectual understanding
  • • Develop research objectives and proposals for own or joint research, with assistance of a mentor if required
  • • Contribute to writing bids for research funding
  • • Disseminate research findings for publication, research seminars etc
  • • Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
  • • Contribute to developing new models, techniques and methods
  • • Undertake management/administration arising from research
  • • Contribute to Departmental/School research-related activities and research-related administration
  • • Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader
  • • Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
  • • Provide guidance, as required, to support staff and any students who may be assisting with the research
  • • Deal with problems that may affect the achievement of research objectives and deadlines

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