Bioinformatics Teaching Specialist
14 hours ago
About the Role
We are seeking a highly skilled and experienced Teaching Fellow in Bioinformatics to support the MSc in Cancer Genomics and Data Science at Queen Mary University of London. The successful candidate will have a PhD in genomics or bioinformatics and a strong background in cancer genomics and omics techniques.
About the Course
The MSc in Cancer Genomics and Data Science is a highly specialized course that focuses on cancer data analytics. Students are taught not only the basic concepts and knowledge of cancer genomics and omics techniques but also practical skills to analyze a range of cancer omics data.
About the Position
The successful candidate will be responsible for the administration, organization, and management of the course, as well as teaching students, running lectures and practicals, designing and marking coursework assignments and exams, and supervising research projects.
About Queen Mary
At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the previously unthinkable. We are committed to developing the next generation of scientists and clinicians through our education programs.
Benefits
We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum, a season ticket loan scheme, and access to a comprehensive range of personal and professional development opportunities.
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Islington, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled and experienced individual to join our team as a Teaching Fellow in Bioinformatics. The successful candidate will have a PhD in genomics or bioinformatics or computational biology, or equivalent, with a sound knowledge of cancer genomics and omics techniques.The role involves teaching students, including running...
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Islington, Greater London, United Kingdom Queen Mary University of London Full timeAbout the RoleWe are seeking a highly skilled and experienced Teaching Fellow in Bioinformatics to join our team at the Barts Cancer Institute, Queen Mary University of London. The successful candidate will have a PhD in genomics or bioinformatics or computational biology, or equivalent, with a sound knowledge of cancer genomics and omics techniques.About...
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