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Topic: Research Fellow in Bioinformatics/Biostatistics (Read 1194 times) previous topic - next topic

Research Fellow in Bioinformatics/Biostatistics

Role: Research Fellow in Bioinformatics/Biostatistics
Salary: Full time starting salary is normally in the range £29,799 to £38,832. With potential progression once in post to £41,212 a year.

Job Purpose

To contribute significantly to the excellence of the ‘metabolomics ecosystem’ at the University of Birmingham, primarily contributing to the NERC Biomolecular Analysis Facility – Birmingham (NBAF-B), the UK’s national research centre for Environmental Metabolomics. Additionally, to engage with scientists in Phenome Centre Birmingham as well as Viant’s, Dunn’s and Weber’s research teams. The postholder will develop and apply expert analysis of large-scale mass spectrometry and/or NMR spectroscopy based metabolomics datasets, including experimental design, data processing, statistical analysis and/or network analysis; to contribute to the Birmingham Metabolomics Training Centre; and to undertake independent research in bioinformatics/biostatistics.

Person Specification
•   PhD or equivalent experience in Bioinformatics, Biostatistics, Chemometrics or Metabolomics (all with metabolomics or related specialism).
•   Experience in the application of statistical / computational methods to the analysis of metabolomics datasets (either mass spectrometry and/or NMR spectroscopy based).
•   Experience in a range of statistical analysis methods, including multivariate and univariate methods.
•   Experience in programming, for example scripting in R, Python, Matlab.
•   Experience in managing multiple projects simultaneously.
•   Excellent communication and interpersonal skills, including the ability to communicate complex information clearly.
•   A high level of accuracy and attention to detail.
•   Ability to work on own initiative, manage time effectively, progress tasks concurrently and work to deadlines.
•   Detailed knowledge of office safety.
•   Ability to assess resource requirements and use resources effectively.

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