Job description
Research Assistant in Tissue Engineering
Are you an early career researcher looking for your first challenge? Do you have a background in tissue engineering or osteosarcoma? Do you want to further your career in one of the UK’s leading research intensive Universities?
We are seeking an enthusiastic and committed Research Assistant to join our interdisciplinary research team in developing new preclinical models of bone disease. You will have responsibility for day-to-day management and coordination of a project investigating the role of extracellular matrix properties in osteosarcoma by developing novel bioengineered disease models. You will conduct research experiments, collect and analyse data, write reports and manuscripts for publication, present their research at internal and external scientific meetings and help with lab organisation. The project will also involve collaborations with academic and clinical partners across the UK. You will be a point of contact regarding experimental procedures specific to their research area, and will also act as a mentor to junior members of the research team.
For this role, you should have a first degree/Masters in tissue engineering, biological/biomedical sciences or a closely allied discipline, with hands-on laboratory experience in cell culture and fluorescence microscopy being essential for this role.
The University of Leeds and the Faculty of Biological Sciences are committed to providing equal opportunities for all and offer a range of family friendly policies. The University is a charter member of Athena SWAN (the national body that promotes gender equality in higher education), and the Faculty of Biological Sciences was awarded a Silver award in 2020. We are proud to be an inclusive Faculty that values all staff, and are happy to consider job share applications and requests for flexible working arrangements from our employees. Our Athena SWAN webpage provides more information.
To explore the post further or for any queries you may have, please contact:
Dr. Mahetab Amer, University Academic Fellow in Predictive Disease Models
Email: [email protected]