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Bioinformatician

University of Birmingham - Institute of Immunology and Immunotherapy

Location: Birmingham
Salary: £33,348 to £43,155 p.a.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 29th March 2023
Closes: 13th April 2023
Job Ref: 101441

Salary: Full time starting salary is normally in the range £33,348 to £43,155, with potential progression once in post to £45,737.

Fixed Term Contract up to November 2027

Job Description

We are seeking a talented and motivated Bioinformatician to join the Cancer Inflammation theme within the NIHR Biomedical Research Centre Birmingham (https://www.birminghambrc.nihr.ac.uk/our-research/cancer-inflammation).

The NIHR BRC Cancer theme aims to (1) develop novel immunotherapies for the elimination of cancer, (2) better understand toxicities of current immunotherapies and (3) reduce the burden of viral infections as a driver and complication of cancer.

The successful candidate will work with research groups aligned to the Cancer Inflammation theme to deliver high level computational analysis and integration of genomics, digital pathology and clinical data. The Research Fellow will be supervised by Professors Paul Moss and Jo Parish at the University of Birmingham.

The successful candidate will work across these objectives in close association with teams consisting of laboratory-based and clinical researchers to deliver the theme objectives. Experience with analysis of genomic and/or digital pathology data is essential.

Person Specification

  • First degree which should have links with informatics and science e.g. biological, biomedical, natural sciences, computing, informatics and computer science. A PhD (or one close to completion) or equivalent experience in Bioinformatics, Mathematics, Statistics or Computer Sciences
  • High level analytical capability
  • Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell genomic, transcriptomic and epigenomic sequencing data (DNA-seq, RNA-seq, ATAC-seq, Chip-seq) would be an advantage
  • Ability to communicate complex information clearly
  • Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
  • Ability to assess resource requirements and use resources effectively

Informal enquires can be made to Professor Paul Moss (p.moss@bham.ac.uk).

To download the full job description and details of this position and submit an electronic application online please click on the Apply Online button below or visit our careers website; here

Valuing excellence, sustaining investment
We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.

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