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Teaching Fellow - Bioinformatics

Queen Mary University of London - Barts Cancer Institute

Location: London
Salary: £42,405 to £49,785
Hours: Full Time
Contract Type: Permanent
Placed On: 11th June 2024
Closes: 25th June 2024
Job Ref: 2355
 

About the Role

Applications are invited for a Teaching Fellow in Bioinformatics in the Barts Cancer Institute, Queen Mary University of London, to support the MSc in Cancer Genomics and Data Science, which is organized by Dr Jun Wang. This is a highly specialised course, with a strong focus on cancer data analytics, where students are taught not just the basic concept and knowledge of cancer genomics and omics techniques, but, as importantly, the practicals that provide hands-on training in state-of-the-art analytic skills to analyse a range of cancer omics data. Duties include the administration, organization and management of the course, but also teaching students, including running lectures and practicals, designing and marking coursework assignments and exams, and supervising research projects. As this field is evolving fast, the post is also required to perform research tasks to be updated with latest techniques, so that course materials can be most up-to-date.

About us

At the Barts Cancer Institute, we focus on how to increase the chances of cancer survival through early detection and diagnosis; and how to improve patient survival through the discovery and development of more effective and innovative therapies; we are a partner in the Cancer Research UK City of London Centre. We are committed to developing the next generation of scientists and clinicians through our education programmes and the aim of our courses and training is to further understanding, research and career development in the field of cancer.

About You

The successful applicant will a PhD in genomics or bioinformatics or computational biology, or equivalent, with a sound knowledge of cancer genomics and omics techniques. They will have experience in hands-on analytic skills and knowledge in analysing a large range of omics data and data integration, and strong communication skills how to convey these topics to students and non-experts. 

The position will suit a candidate with excellent communication, organizational, and interpersonal skills, who is able to prioritise a varied workload.

About Queen Mary

At 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.

Benefits

We 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 including an on-site nursery at the Mile End campus.

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.

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