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Data Analyst in Bioinformatics and Biostatistics

University of Birmingham - School of Biosciences

Location: Birmingham
Salary: £34,304 p.a. Grade 7
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 14th April 2022
Closes: 26th May 2022
Job Ref: 99486

Location: University of Birmingham, Edgbaston, Birmingham UK

As this vacancy has limited funding the maximum salary that can be offered is Grade 7, salary £34,304.

Full Time FTC for 18 months, with the potential to extend based on future projects. 

Summary of Role

  • Analyse data generated with high throughput sequencing technologies within specified research grants and contribute to writing research outputs
  • Analyse and interpret research findings and results with the support of a project leader
  • Contribute to undergraduate and postgraduate student supervision
  • Support research in the group through expert analytical support

Main Duties/Responsibilities

  • Carry out bioinformatics data analysis on transcriptomics, genomics, methylomics and ATAC Seq data generated from experimental exposures
  • Develop appropriate pipelines or skilfully use existing pipelines for multi-omics data analysis
  • Analyse and interpret data, applying biostatistics on high throughput multi-omics data
  • Contribute to satellite projects in the field of ecotoxicology, metagenomics and metabarcoding
  • Support the work and development of PhD students in research related work
  • Provide guidance, as required, to support staff and any students who may be assisting with the research
  • Develop research objectives and proposals for own or joint research, with assistance of a mentor if required
  • Apply knowledge in a way that develops new intellectual understanding
  • Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
  • Contribute to public engagement activities of benefit to the College and the University, often under supervision of a project leader
  • Undertake management/administration arising from research
  • Deal with problems that may affect the achievement of research objectives and deadlines
  • Decide in consultation with the principal investigator as appropriate, on the most appropriate way of undertaking the specified research activities
  • Decide in consultation with the principal investigator as appropriate how to analyse and interpret the data from the specified research activities
  • Decide in consultation with the principal investigator as appropriate what knowledge to draw on and how to apply it to develop new intellectual understanding
  • Promotes equality and values diversity acting as a role model and fostering an inclusive working culture.

Person Specification

  • PhD-degree in bioinformatics, computational biology or biology with demonstrated computation skills. Alternatively, a Master in one of the fields mentioned is acceptable if accompanied by a demonstrated hands-on experience of at least 3 years
  • Demonstrated skills in biostatistics
  • Literacy in machine learning is preferred
  • A short postdoctoral experience is preferred but not required
  • Analytical capability
  • Ability to identify analytical tools most suitable to the research
  • Ability to communicate complex information clearly
  • Ability to work both independently and as a team
  • Ability to assess resource requirements and use resources effectively
  • Understanding of and ability to contribute to broader management/administration processes
  • Contribute to the planning and organising of the research programme and/or specific research project
  • Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day to day activity in own area that those with protected characteristics are treated equally and fairly

Informal enquires to Dr Luisa Orsini, email: l.orsini@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; https://bham.taleo.net/careersection/external/jobsearch.ftl?lang=en&portal=101430233, please quote Job Ref 99486 in all enquiries.

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