Queen Mary University of London
Job title:
Postdoctoral Research Associate
Company
Queen Mary University of London
Job description
About the RoleApplications are invited for a motivated and committed scientist with significant experience working with immunohistochemistry, transcriptomics, and ideally spatial multiplex methods. The position is funded by the Barts Charity and for an initial period of 2 years. The successful candidate will gain access to unrivalled novel pre-existing samples and data to study modelling the influence of aging and cardio-metabolic disease. Their role is to help establish standard operating procedures for advanced single-cell spatial methodologies to identify clinically informative subtypes of cells. The applicant will work as part of a team to produce international quality research publications. In addition to producing novel spatial transcriptomics data, the applicant will benefit from access to a number of existing novel data-sets offering them opportunities for additional self-driven publications and further career development. The project requires the applicant to work on site most days of the week, particularly during the first year.About YouThe successful candidate will have PhD degree in any relevant quantitative molecular science, as evidenced by a strong publication record. They should have several years’ experience working with immunohistochemistry and low and multi-plex RNA quantification and ideally some experience working with single-cell methodologies or spatial methods (evidenced by publication). Ideally, they would have a track-record in musculoskeletal biology, evidenced by publication in internationally recognised journals. They will be comfortable with basic modelling of quantitative data and have an interest in developing new informatic skills.About the TeamThe successful candidate will join a team of researchers at the William Harvey Research Institute, and their international partners, working on musculoskeletal ageing and metabolic disease. The team use bioinformatics, transcriptomics, machine-learning to make research discoveries in the fields of skeletal ageing, cardio-metabolic disease and neurodegeneration. There are large pre-existing exon-level bulk transcriptomics and spatial data resource that are central to our short-term publication activities. The local team includes Dr Timmons (the applicant’s line-manager), and Professor’s Guasti and Chapple (Molecular Endocrinology), as well as Professor Slabaugh’s team in the Digital Environment Research Institute (DERI). National and international colleagues (McMaster and Duke Universities) complete the team.About Queen MaryAt Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable.Throughout our history, we’ve fostered social justice and improved lives through academic excellence. And we continue to live and breathe this spirit today, not because it’s simply ‘the right thing to do’ but for what it helps us achieve and the intellectual brilliance it delivers.We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.BenefitsWe offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Expected salary
Location
London
Job date
Mon, 30 Sep 2024 22:31:13 GMT
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