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Research Associate

South Kensington, London, United Kingdom, £ 40215 per year, Permanent

Description:

Location: South Kensington and St Mary’s campus

Job Summary

We are seeking to appoint a full-time Research Associate to work on projects investigating progression of respiratory diseases from childhood to adulthood.

You will work as part of a research group working on the MRC-funded UNICORN (Unified Cohorts Research Network) programme. This new and unique programme will enable the use high-dimensional clinical, genetic, environmental and biological data collected at multiple time points from population-based birth cohorts from the STELAR consortium, patient cohorts including Breathing Together consortium, U-BIOPRED, and RBH Severe Asthma cohort, this post will involve cutting-edge research to understand the causal mechanisms underlying the development of respiratory diseases, and to predict which babies will develop the disease.

Duties and responsibilities

You will work on projects investigating progression of respiratory diseases from childhood to adulthood. You will supervise, plan, design, manage, and implement research and data analysis of a highly complex nature. You will apply statistical theories and methods to analyse large, complex data-sets, you will also apply statistical models to analyse omics data. You will analyse and interpret data to report conclusions from analyses in presentations and scientific publication

You will also have the opportunity to develop methodology in latent variable modelling, longitudinal modelling and missing data. You will prepare material for presentation in oral and poster formats and present findings to colleagues and at conferences. You will draft publications and prepare them for submission to refereed journals. You will contribute to writing bids for research grants, you will also promote the reputation of the group, Centre, department and College.

 Please see the full Job Description for more details on duties and responsibilities.

Essential requirements

You will have a PhD in (or an MSc with equivalent relevant experience) in Statistics, Statistical Genetics, Bioinformatics, Computational Biology or another relevant discipline with a strong statistical or machine learning component. Other requirements include experience of handling missing data and imputation, knowledge of non-linear models (such as decision trees, random forests, Bayesian networks, demonstrable good project management and organisational skills and experience within a research environment and publication in relevant and refereed journals.

In addition, candidates should have strong data management skills and a high degree of proficiency with one or more statistical software (e.g., R, Python, Stata, MPLUS). Candidates 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.

Further Information

To apply please visit: www.imperial.ac.uk/jobs and search the reference MED01819.

The role is full time and fixed term for 2 years in the first instance with the possibility of renewal.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £35,477 - £38,566 per annum.

For informal enquiries about the role please contact Professor Adnan Custovic - a.custovic@imperial.ac.uk

Closing date: 16th June 2020

For technical issues when applying online please email recruitment@imperial.ac.uk.

Committed to equality and valuing diversity, we are an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.

Job Details

MED01819.
Full Time
South Kensington, London, United Kingdom
Permanent
£ 40215 per year