13172 - Post-Doctoral Research Fellow
| Dyddiad hysbysebu: | 26 Medi 2025 |
|---|---|
| Cyflog: | £41,064 i £48,822 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 10 Hydref 2025 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 2 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 13172 |
Crynodeb
Grade UE07: £41,064 to £48,822 per annum
CMVM / Institute for Neuroscience and Cardiovascular Research / Centre for Cardiovascular Sciences
Full-time: 35 hours per week
Fixed-Term: 1 year
The Opportunity:
Applications are invited for a Post-Doctoral Research Associate to work on an exciting project building a multi-centre data infrastructure for cardiac electrophysiology data. Through the MRC-funded OpenEP|NET study the post-holder will work closely with the existing study team, supporting system development, technical processing, data management and data science aspects of the study.
The post holder will be based at the University of Edinburgh’s Centre for Cardiovascular Science, a leading centre combining world-leading cardiovascular disease research, state-of-the-art machine learning and health data science research and a strong interdisciplinary research culture.
This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your skills and attributes for success:
Relevant domain knowledge relating to cardiac electrophysiology
Excellence in Python software development for scientific computing
A strong knowledge and experience of database software including SQL
Prior experience handling large quantities of clinical or non-clinical real-world data, preferably in a data manager role
Experience applying statistical and data science techniques to address real-world clinical problems
CMVM / Institute for Neuroscience and Cardiovascular Research / Centre for Cardiovascular Sciences
Full-time: 35 hours per week
Fixed-Term: 1 year
The Opportunity:
Applications are invited for a Post-Doctoral Research Associate to work on an exciting project building a multi-centre data infrastructure for cardiac electrophysiology data. Through the MRC-funded OpenEP|NET study the post-holder will work closely with the existing study team, supporting system development, technical processing, data management and data science aspects of the study.
The post holder will be based at the University of Edinburgh’s Centre for Cardiovascular Science, a leading centre combining world-leading cardiovascular disease research, state-of-the-art machine learning and health data science research and a strong interdisciplinary research culture.
This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.
Your skills and attributes for success:
Relevant domain knowledge relating to cardiac electrophysiology
Excellence in Python software development for scientific computing
A strong knowledge and experience of database software including SQL
Prior experience handling large quantities of clinical or non-clinical real-world data, preferably in a data manager role
Experience applying statistical and data science techniques to address real-world clinical problems