Computational Senior Research Scientist/Bioinformatics - UOD1672

We are recruiting for an exceptional individual to join the Antigen Discovery Group (Ternette Laboratory) in the Division of Cell Signalling and Immunology as a computational postdoctoral research associate to contribute to the implementation and extension of our liquid chromatography mass spectrometry (LC-MS)-based antigen discovery pipeline (MARS, https://doi.org/10.1038/s41467-023-44460-z). This position is fixed-term for 2.5 years.

The Antigen Discovery Group aims to decipher the molecular architecture of the Human Leukocyte Antigen (HLA) processing and presentation machinery and study the effects of its function on T cell recognition in several disease models, including cancer.

The post is suited to an individual with highly specialised experience in high-performance programming and software engineering and considerable programming experience; with particular focus on qualitative and quantitative analysis of peptide mass spectra and post processing of LC-MS datasets. In addition to an understanding of complex LC-MS data and advanced programming skills, the ideal candidate has a track record of training staff and contributing to LC- MS-based research projects and statistical assessment of large-scale data.

Please note that applications made on a part-time basis for this role will not be considered.

Your priorities will include:

• Maintaining (updating/testing/debugging) and adding new features to the existing pipelines
• Further developing the MARS software (https://doi.org/10.1038/s41467-023-44460-z) and integrating novel MS features into the software
• Writing optimised R- or python-based scripts and train group members on using these to analyse their own datasets optimally.
• Support the efforts to create training datasets for enhanced post-processing of LC-MS data.
• Writing scientific papers and contributing to the generation of preliminary data to support grant applications.

Who we’re looking for:

• You have a first degree level, in Software Engineering/Computer Science or Bioinformatics or Mathematics or Statistics
• PhD in Bioinformatics or Computer Science or analogous specialisation
• You have experience of working in a computational research environment hosted within a broader life science department
• You have highly specialised experience in software engineering and considerable programming experience with particular focus on LC-MS data analysis
• You have a strong understanding of algorithm and efficient data structure optimisation with adjustments to the most optimal computing hardware architectures.

For further information about this position please contact Dr Nicola Ternette at nternette001@dundee.ac.uk. To find out more about CSI please visit Cell Signalling and Immunology | University of Dundee, UK.

Commitment to DORA

The School of Life Sciences has been fully committed to the principals of the San Francisco Declaration on Research Assessment (DORA) since 2013. In assessing applicants, we consider the scientific quality of their published research papers, but do not take into account where the papers were published and do not consider journal-based metrics, such as Journal Impact Factors.

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