Research Assistant or Associate in Bioinformatics for Infectious Disease
at Imperial College London
South Kensington, England, United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 26 Nov, 2024 | GBP 48056 Annual | 29 Aug, 2024 | N/A | Data Science,Journals,Data Mining,Publications,Functional Analysis,Mining,Infectious Diseases,Data Analysis,Integration,Multivariate Statistics,Biomarkers,Bids,Reliability,Conferences,Gene Expression,Algorithms,Proteomics,Machine Learning | No | No |
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Description:
AVAILABLE DOCUMENTS
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- Download: Research Assistant Or Associate Job Description.Pdf
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.
If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.
Responsibilities:
ABOUT THE ROLE
The Section of Paediatric Infectious Disease at Imperial College London is seeking to recruit at least one enthusiastic Research Assistant to join our Bioinformatics team working on host pathogen interactions in infectious disease, multi-omic integration and biomarker identification, with a focus on tuberculosis disease and the role of age and sex on host immunology and biosignatures.
WHAT YOU WOULD BE DOING
You will be performing cutting edge research utilising statistical and machine learning models to contribute to the advancement of understanding and diagnosis of tuberculosis disease. You will develop the data science and machine learning expertise to analyse whole blood RNAseq, gene expression microarray, proteomic and imaging datasets, and develop methods for mining and integration of multiple host-omics data by using one of the larger collections of clinical RNA-Seq and other modalities data in paediatric TB research in the world. Some of your key research duties and responsibilities would include:
- To process and analyse large biological datasets from high throughput technologies.
- To apply software tools for data mining.
- To assist in the development of algorithms to explore and understand the data.
- To identify biomarkers for diagnosis and prognostic purposes in infectious diseases.
- To apply/develop adequate tools for and biological interpretation of the data.
- To visualise model results and data to generate insight.
- To always ensure the validity and reliability of data.
- To maintain accurate and complete records of all findings.
- To write reports for submission to research sponsors.
- To present findings to colleagues and at conferences.
- To submit publications to refereed journals.
- To attend relevant workshops and conferences as necessary.
- To develop contacts and research collaborations within the College and the wider community.
- To promote the reputation of the Group, the Department and the College.
- Contribute to bids for research grants.
- To conduct and plan own scientific work with appropriate supervision.
- To maintain highly organised and accurate record of experimental work.
- To actively participate in the research programme of the Group.
- To participate in Group research meetings and internal seminars.
- To collaborate with other allied scientists within Imperial College and elsewhere in London and abroad, as appropriate.
- To contribute to the smooth running of the Group’s laboratories and, facilities with other scientists, clinicians, technicians, and students within the laboratories.
- Any other duties as may be deemed reasonable by Head of group as well as Head of Division/Department/Section.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Pharma / Biotech / Healthcare / Medical / R&D
Software Engineering
BSc
Engineering, Maths
Proficient
1
South Kensington, United Kingdom