Imperial College London

Research Associate in Bioinformatics

Information:

This job is now closed

Job summary

Imperial College London is seeking to recruit an enthusiastic Research Associate/Bioinformatician to join for 18 months in the first instance starting 4th November 2024.

Main duties of the job

The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr Myrsini Kaforou and Dr. Sara Fontanella at the National Heart & Lung Institute at the Department of Infectious Diseases. The research focuses on Acute Food Protein induced enterocolitis syndrome (FPIES), a potentially life threatening non-IgE mediated food allergy.

About us

Mission The mission of the National Heart and Lung Institute is to investigate the causes of heart, lung and vascular diseases in order to prevent, monitor and treat these disorders. Aim Our aim is to reduce death and suffering from heart, lung and vascular disease. The NHLI:

  • holds over £170 million of active grants
  • has over 500 staff; including 130 Principal Investigators, three Fellows of the Royal Society, eight NIHR Senior Investigators and 20 Fellows of the Academy of Medical Sciences
  • is a major teaching centre for medical undergraduates, and cardiovascular and respiratory scientists; with over 200 PhD or MD students and 150 MSc students

    • Details

    Date posted

    29 May 2024

    Pay scheme

    Other

    Salary

    £46,593 to £48,376 a year

    Contract

    Fixed term

    Duration

    18 weeks

    Working pattern

    Full-time

    Reference number

    MED04591

    Job locations

    180 Queen's Gate, South Kensington

    Kensington and Chelsea

    SW7 2AZ


    Job description

    Job responsibilities

    Duties and responsibilities

  • The ideal candidate for this position will possess a broad range of skills in gene expression analysis, including multi-omics, systems biology and computer programming. They will ideally be responsible for the analysis of longitudinal RNA-seq data, and proteomics. Given the technical complexity of the research, the post holder must have strong computational and problem-solving skills.
  • You will have responsibility for day-to-day co-ordination, running and maintenance of bioinformatics analysis. This will include designing and implementing data processing pipelines and analyses, preparing data for publication, and assisting with future funding applications.
  • You must be organised, highly self-motivated and have excellent communication, interpersonal and computer skills.
  • You will need to manage your time and performance and must be strongly proactive, knowledgeable and able to solve complex problems with strong data management skills and a high degree of proficiency with one or more statistical software (e.g., R, Matlab, Python).
  • You should also have experience preparing oral and written reports of research findings. Relevant training and development will be encouraged both internally and through identifying relevant external courses and seminars.
    • Essential requirements
  • You must hold a PhD in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject, or be nearing PhD completion.
  • Experience with the analysis of omics data
  • Proficiency with R, Matlab or Python
  • 2-3 years' experience of analysing transcriptomics\proteomics
  • Knowledge of research methods and statistical procedures
  • A strong understanding and proven experience of analysing large datasets
  • Experience with workflow analysis specific for omics data analysis-i.e RNA seq, proteomics and previous experience with analysing RNA seq data, microarrays, gene expression, gene enrichment analysis, functional analysis and gene network analysis
  • Experience with longitudinal data analysis
  • Experience handling missing data and imputation
  • Experience within a research environment and publication in relevant and refereed journals
  • Knowledge of Multivariate Statistics and Machine Learning
  • Knowledge of Network Analysis for omics data
    • Further information The post is full-time and fixed term until May 2026 and you will be based at South Kensington Campus. Should you require any further details on the role please contact: Sabrina Kapur- Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £41,694 - £44,888 per annum. Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview. More information is available on the following web page: Work Location Framework | Administration and support services | Imperial College London

    Job description

    Job responsibilities

    Duties and responsibilities

  • The ideal candidate for this position will possess a broad range of skills in gene expression analysis, including multi-omics, systems biology and computer programming. They will ideally be responsible for the analysis of longitudinal RNA-seq data, and proteomics. Given the technical complexity of the research, the post holder must have strong computational and problem-solving skills.
  • You will have responsibility for day-to-day co-ordination, running and maintenance of bioinformatics analysis. This will include designing and implementing data processing pipelines and analyses, preparing data for publication, and assisting with future funding applications.
  • You must be organised, highly self-motivated and have excellent communication, interpersonal and computer skills.
  • You will need to manage your time and performance and must be strongly proactive, knowledgeable and able to solve complex problems with strong data management skills and a high degree of proficiency with one or more statistical software (e.g., R, Matlab, Python).
  • You should also have experience preparing oral and written reports of research findings. Relevant training and development will be encouraged both internally and through identifying relevant external courses and seminars.
    • Essential requirements
  • You must hold a PhD in Bioinformatics, Statistical Genetics, Statistics or an equivalent subject, or be nearing PhD completion.
  • Experience with the analysis of omics data
  • Proficiency with R, Matlab or Python
  • 2-3 years' experience of analysing transcriptomics\proteomics
  • Knowledge of research methods and statistical procedures
  • A strong understanding and proven experience of analysing large datasets
  • Experience with workflow analysis specific for omics data analysis-i.e RNA seq, proteomics and previous experience with analysing RNA seq data, microarrays, gene expression, gene enrichment analysis, functional analysis and gene network analysis
  • Experience with longitudinal data analysis
  • Experience handling missing data and imputation
  • Experience within a research environment and publication in relevant and refereed journals
  • Knowledge of Multivariate Statistics and Machine Learning
  • Knowledge of Network Analysis for omics data
    • Further information The post is full-time and fixed term until May 2026 and you will be based at South Kensington Campus. Should you require any further details on the role please contact: Sabrina Kapur- Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £41,694 - £44,888 per annum. Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview. More information is available on the following web page: Work Location Framework | Administration and support services | Imperial College London

    Person Specification

    Qualifications

    Essential

    • Hold a PhD,(or about to be awarded) in Bioinformatics, Statistical Genetics, Statistics
    • or an equivalent subject
    • *Candidates who have not yet been officially awarded their PhD will be appointed as
    • Research Assistant.
    • Research Assistant: MSc (or equivalent) in Bioinformatics, Statistical Genetics,
    • Statistics or an equivalent subject

    Experience

    Essential

    • Experience with the analysis of omics data
    • Proficiency with R, Matlab or Python
    • 2-3 years' experience of analysing transcriptomics\proteomics
    Person Specification

    Qualifications

    Essential

    • Hold a PhD,(or about to be awarded) in Bioinformatics, Statistical Genetics, Statistics
    • or an equivalent subject
    • *Candidates who have not yet been officially awarded their PhD will be appointed as
    • Research Assistant.
    • Research Assistant: MSc (or equivalent) in Bioinformatics, Statistical Genetics,
    • Statistics or an equivalent subject

    Experience

    Essential

    • Experience with the analysis of omics data
    • Proficiency with R, Matlab or Python
    • 2-3 years' experience of analysing transcriptomics\proteomics

    Disclosure and Barring Service Check

    This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

    Certificate of Sponsorship

    Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).

    From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).

    Additional information

    Disclosure and Barring Service Check

    This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

    Certificate of Sponsorship

    Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).

    From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).

    Employer details

    Employer name

    Imperial College London

    Address

    180 Queen's Gate, South Kensington

    Kensington and Chelsea

    SW7 2AZ


    Employer's website

    https://www.imperial.ac.uk/ (Opens in a new tab)

    Employer details

    Employer name

    Imperial College London

    Address

    180 Queen's Gate, South Kensington

    Kensington and Chelsea

    SW7 2AZ


    Employer's website

    https://www.imperial.ac.uk/ (Opens in a new tab)

    Employer contact details

    For questions about the job, contact:

    Study Coordinator

    Sabrina Kapur

    sabrina.kapur@imperial.ac.uk

    Details

    Date posted

    29 May 2024

    Pay scheme

    Other

    Salary

    £46,593 to £48,376 a year

    Contract

    Fixed term

    Duration

    18 weeks

    Working pattern

    Full-time

    Reference number

    MED04591

    Job locations

    180 Queen's Gate, South Kensington

    Kensington and Chelsea

    SW7 2AZ


    Privacy notice

    Imperial College London's privacy notice (opens in a new tab)