Research Associate

Job summary

An exciting opportunity has arisen for the appointment of a Data Science Research Associate to join the Imperial Phenome Centre (IPC) based at Imperial College London. The Centre undertakes metabolic phenotyping from a diverse portfolio of research collaborations spanning clinical medicine to large-scale population health studies from within Imperial and beyond. The IPC specialises in state-of-the-art targeted and untargeted approaches using a...

Job listing information

  • Reference MED00886
  • Date posted 15 November 2018
  • Closing date 4 January 2019

Job description

Job summary

An exciting opportunity has arisen for the appointment of a Data Science Research Associate to join the Imperial Phenome Centre (IPC) based at Imperial College London. The Centre undertakes metabolic phenotyping from a diverse portfolio of research collaborations spanning clinical medicine to large-scale population health studies from within Imperial and beyond. The IPC specialises in state-of-the-art targeted and untargeted approaches using a combination of NMR, chromatographic and MS technologies alongside innovative informatics approaches. With a key focus on building strong research collaborations, identifying biologically and clinically relevant biomarkers, and developing innovative technological and bioinformatics approaches required for the analysis of “big data”, this is an exciting role within a highly motivated and supportive team

The Centre, in operation since June 2012 (previously as the National Phenome and Clinical Phenotyping Centres), provides high-throughput, high-quality analysis of samples and engages in academic and industrial collaborations for projects requiring complex data analysis and interpretation across a wide range of research areas. It is a national resource to enable researchers (academic and commercial) to have access to state-of-the-art NMR and Mass Spectrometry facilities and expertise at Imperial to undertake this work.

Duties and responsibilities

Working as part of a team, the post holder will support clinical studies from start to finish, from the initial review of study design with collaborators, through using informatics methods to ensure high quality data generation, to the final statistical, bioinformatic, and interpretive analysis of the resulting analytical data. In addition, he/she will work closely with colleagues and collaborators to deliver impactful and timely research outcomes. The post holder will drive the development of the Centre’s informatic infrastructure, including developing novel data science strategies to enhance the existing in-house open source toolsets. The postholder will have an important role in ensuring good communications with colleagues across the Centers, Division, and with our customers and partners in other organisations.

Essential requirements

The successful candidate will have a PhD in Bioinformatics, Data Science, Chemometrics, or equivalent. You will be able to demonstrate knowledge of chemometrics, chromatography and metabolite-profiling and a strong theoretical grasp of data analysis related to NMR spectroscopy and mass spectrometry, alongside a practical knowledge of the current state-of-the-art software tools employed in these fields. You will have proven coding skills in Python, MATLAB, R, or equivalent. Proven ability to work well within a team is essential, as will excellent communication skills and the ability to work to deadlines whilst maintaining a high level of accuracy.

Further information

This post is full time and fixed term for 24 months in the first instance, and will be based at the Hammersmith Hospital Campus (East Acton) with travel as necessary South Kensington Campus and St Mary’s Hospital Campus (Paddington).

For further details please contact Lynn Maslen at L.Maslen@imperial.ac.uk

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. 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.