Research Associate
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Job Type: Full-Time.
Starting Salary: £48056 - £56345 per annum + 48056 plus benefits
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About the role
We are seeking a talented and motivated Bioinformatician to join Prof. Dr. Zoltán Takáts' team at the Department of Metabolism, Digestion and Reproduction in the Faculty of Medicine. You will be part of an exciting project focusing on the further development and clinical translation of a fast, accurate, and cost-efficient method for cellular interactions using Laser desorption rapid evaporative ionization mass spectrometry (LD-REIMS). Ambient ionisation mass spectrometry techniques, including LD-REIMS, enable the rapid and precise identification of cells in clinical samples based on their metabolic and lipidomic profiles, thereby presenting a great opportunity to improve diagnosis and clinical decision-making. As a member of the software and data analysis team, you will perform data pre-processing and quality control, develop predictive models for the identification of various bacterial species, and benchmark our methodology against existing strategies.
What you would be doing
In this role, you will:
* Implement and validate machine learning algorithms for the classification of various cell types found in clinical specimens.
* Work on normalization/ standardization strategies to improve the stability and ruggedisation of REIMS-generated data across different platforms, including the development of suitable quality controls that can be used for normalization.
* Collaborate with engineers and clinicians to ensure that the data analysis can be integrated in clinical applications.
* Train predictive models for drug susceptibility to enhance targeted treatment strategies.
* Publish your findings in top-tier journals and present your work at international conferences.
What we are looking for
* A PhD (or equivalent) in Bioinformatics, Computational Biology, Mathematics, or a related field.
* Strong programming skills in Python, or R, with experience in implementing machine learning algorithms, statistical modelling and performing complex data analysis.
* Expertise with detailed data quality control procedures and data visualisation.
* Hands-on experience in processing and analysing mass spectrometry data.
* Knowledge of infection biology and diagnostics, particularly in the context of cell-cell interactions and therapy resistance.
* The ability to work both independently and as part of a multidisciplinary team.
What we can offer you
* The opportunity to work on a high-impact project funded by prestigious organisations like CRUK.
* Access to world-class research facilities at Imperial College London.
* The chance to collaborate with leading experts in cancer research and microbiome studies.
* Hybrid working options to support work-life balance.
* The opportunity to continue your career at a world-leading institution
* Sector-leading salary and remuneration package (including 39 days off a year)
Further information
This is a full time fixed term role, based at our Hammersmith Campus.
If you require any further details on the role please contact: Burak Temelkuran - b.temelkuran@imperial.ac.uk