Senior Scientist in Bioinformatics

Senior Scientist in Bioinformatics

Imperial College London

London, United Kingdom

Department: Department of Medicine, Division of Brain Sciences

Salary: £46,762 – £55,002 p.a.

Campus: Hammersmith Campus

The post holder will contribute to the design and analysis of large-scale ‘omics datasets with a primary focus on single cell RNA-Seq and network analysis to address major research questions. The post holder will be expected to assume both leadership and investigator support roles in the research programmes collaboratively pursued.

Activities will include the maintenance, development and documentation of analysis workflows and protocols for quality control, transcription profiling or epigenetic modification detection, as well as integration with genomic datasets and public and commercial biomedical data sources. Important aspects of the role also involve making strategic contributions to experimental design, in facilitating analysis and interpretation of data and to enhancing resource available to staff for independent work in the area. As part of this support to the Theme, the post-holder may be asked to organise regular teaching sessions for staff and students or occasional one-to-one problem solving “office hours”.

The post holder will report directly to Prof. Matthews. A close relationship with expert staff in the nearby BRC Genomics Core Facility and with the BRC Bioinformatics Core will be encouraged, as well as collaborative relationships more widely in the College.

The projects to be carried out whilst funded in this position are in a highly competitive field and will demand a high degree of commitment. The successful candidate will be expected to take an active part in the academic activities in the Theme and across the College, including contributing to journal clubs and seminar presentations.

You will have a postgraduate degree (PhD) in a bioinformatics, computational biology, computer science, statistical genetics or a related discipline and will have:

• Evidence of high quality publication, including first author publications in related disciplines
• Work experience in developing and applying integrative transcriptomic and network analyses, and handling large genomic datasets
• Practical experience with the processing and analysis of large genomic datasets including next-generation sequencing datasets
• Track record in bioinformatics
• Knowledge of statistical methods frequently used for the analysis of sparse genomic datasets
• Comfortable working in a Unix/Linux environment
• Advanced programming skills in Perl/Python and shell scripting or other equivalent languages relevant for bioinformatics
• Knowledge of and experience with the use of statistical methods and programming languages such as R
• Familiarity with public biomedical information resources such as genome browsers, data repositories and annotation databases
• Sound understanding of the application of genome technologies and bioinformatics in the context of genomics and genetics

This post is until 31st March 2022.

To apply, visit www.imperial.ac.uk/jobs and search by the job reference MED01065

Closing date: 31 March 2019

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

Should you have any queries regarding this position please contact Dawn Tharpe (d.tharpe@imperial.ac.uk ) or for research enquiries please contact Prof. Paul Matthews (p.matthews@imperial.ac.uk ).

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

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

Please apply via recruiter’s website.

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