Location: | Birmingham |
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Salary: | £34,980 to £44,263 with potential progression once in post to £46,974. Grade: 7 |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 19th September 2024 |
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Closes: | 10th October 2024 |
Job Ref: | 104570 |
Salary: Full time starting salary is normally in the range £34,980 to £44,263 with potential progression once in post to £46,974. Grade: 7
Contract Type: Fixed Term contract up to July 2025, with further extension likely
This is an exciting opportunity for a full time post-doctoral Research fellow, to join Professor Sudha Sundar’s team in conducting studies to develop and validating diagnostic tests to diagnose ovarian cancer early. The post Is funded by the NHS cancer programme through the SONATA study NCT06129968 and by Cancer Research UK and hosted in the College of Medicine and Health. The position will be extendable up to 44 months from a programme grant awarded from CRUK
The postholder will take a lead role in a newly funded programme grant for early detection of ovarian cancer called the ROCkeTS GEN Val study. The purpose of this post is to conduct a prospective multicentre study to validate circulating tumour DNA as a novel method for earlier detection of ovarian cancer. This is a follow-on study from a previous study ROCkeTS -GEN investigating ctDNA in ovarian cancer. https://www.cancerresearchuk.org/about-cancer/find-a-clinical-trial/a-study-looking-at-current-tests-for-ovarian-cancer-to-help-improve-diagnosis-rockets
Several high impact papers are expected from the current body of work. Collaborations with internationally leading academics across the UK and worldwide are ongoing. This post will suit a candidate keen on pursuing a career in early cancer detection and will provide excellent opportunities for career development.
Main Duties:
Skills and Knowledge:
Informal enquiries to Professor Sudha Sundar s.s.sundar@bham.ac.uk
To download the full job description and details of this position and submit an electronic application online please click on the ‘Apply’ button above.
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