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10992 - Research Assistant
| Posting date: | 24 July 2024 |
|---|---|
| Salary: | £32,982.00 to £38,205.00 per year |
| Hours: | Full time |
| Closing date: | 07 August 2024 |
| Location: | Edinburgh, Scotland |
| Remote working: | On-site only |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 10992 |
Summary
Grade UE06: £32,982 - £38,205 per annum.
College of Medicine & Veterinary Medicine / Institute of Regeneration and Repair / Centre for Inflammation Research.
Full-time: 35 hours per week.
Fixed term: available until 31st August 2025.
The Opportunity:
Research Assistant opportunity in the Skin Repair lab led by Dr Jenna Cash. The successful applicant will work on an industry-funded project on acute and chronic skin wounds.
This post is full-time (35 hours per week) and can be performed either on a hybrid basis that combines a mix of remote and regular on-campus working, or on a fully on-campus basis.
Your skills and attributes for success:
Degree in Biomedical sciences (1st or 2:1) (Desirable).
Previous laboratory experience (Desirable).
Experience using programming languages such as R and Python (Desirable).
Skilled in QuPath (Desirable).
Experience in spatial biology, especially PhenoImager multiplex panels (Desirable).
College of Medicine & Veterinary Medicine / Institute of Regeneration and Repair / Centre for Inflammation Research.
Full-time: 35 hours per week.
Fixed term: available until 31st August 2025.
The Opportunity:
Research Assistant opportunity in the Skin Repair lab led by Dr Jenna Cash. The successful applicant will work on an industry-funded project on acute and chronic skin wounds.
This post is full-time (35 hours per week) and can be performed either on a hybrid basis that combines a mix of remote and regular on-campus working, or on a fully on-campus basis.
Your skills and attributes for success:
Degree in Biomedical sciences (1st or 2:1) (Desirable).
Previous laboratory experience (Desirable).
Experience using programming languages such as R and Python (Desirable).
Skilled in QuPath (Desirable).
Experience in spatial biology, especially PhenoImager multiplex panels (Desirable).