Research Assistant/Associate in Computational Genetics or Genomic Data Science (Fixed Term)
The Kar lab at the Early Cancer Institute in the Department of Oncology is looking for an enthusiastic postdoctoral or master's level researcher with a strong quantitative background and statistical programming skills to join a UK Research and Innovation Future Leaders Fellowship-funded project. As a Research Assistant/Associate in Computational Genetics/Genomic Data Science you will play a vital role in the design, analysis and dissemination of genome-wide association and Mendelian randomisation studies that systematically generate comprehensive maps of the relationships between cancer-relevant exposures or risk factors and a wide range of somatic or tumour molecular traits such as gene expression, driver gene mutations, and mutational signatures.
You will apply your data science/statistical expertise and computational skills to analyse some of the largest integrated germline genetics and somatic multi-omics data sets of relevance to cancer currently available, working on a project that aims to use these data to provide fresh insights for cancer prevention, early detection, and therapeutics. You will:
have the opportunity to lead peer-reviewed publications in this area, present at international scientific conferences, and develop your own academic profile.
have access to mentorship and guidance to support your work to the fullest, training in advanced research methods, and extensive career development opportunities.
work closely with our local, national, and international collaborators and be a part of global scientific networks in cancer genetics and epidemiology.
Prior experience in the analysis of large data sets in any field, coding skills in R or Python, attention to detail, and eagerness and ability to learn new bioinformatic tools and epidemiological/biological concepts are important for success in the role. Previous experience in genetics or genomics research would be a major asset but is not strictly essential.
Prospective candidates are strongly encouraged to contact Dr Siddhartha Kar (email@example.com) directly when considering an application to discuss the post and the project in greater detail.
Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will initially be appointed as a Research Assistant (Grade 5, Point 38 £31,411) moving to Research Associate (Grade 7) upon confirmation of your PhD award.
Fixed-term: The funds for this post are available until 30 September 2024 in the first instance.
Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.
Closing date: 11th April 2023
Date of interview: second half of April 2023
Please quote reference RD35905 on your application and in any correspondence about this vacancy.
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