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Mae'r hysbyseb swydd hon wedi dod i ben ac mae'r ceisiadau wedi cau.
MAGENTA Research Analyst
| Dyddiad hysbysebu: | 20 Mehefin 2025 |
|---|---|
| Cyflog: | £39,355 i £45,413 bob blwyddyn |
| Gwybodaeth ychwanegol am y cyflog: | together with USS pension benefits |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 06 Gorffennaf 2025 |
| Lleoliad: | Swansea, Wales |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | Swansea University |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | SU01061 |
Crynodeb
This is a Fixed Term role until December 2026 working full-time.
The Wellcome Trust funded MAGENTA (Maternal And preGnancy hEalth aNd elevaTed heAt) project at Swansea University, addresses a critical gap in understanding how climate-related factors, especially heat, impact maternal and neonatal health, particularly in deprived communities in Wales and London. This transdisciplinary data-linkage and biological sampling study aims to understand the effects of heat exposure during pregnancy, considering socio-demographic factors, housing qualities, and other environmental influences. By combining large-scale data analysis with biological sampling, MAGENTA aims to provide comprehensive insights into the interplay between environmental factors and health outcomes, potentially leading to better informed public health strategies and policies. We are recruiting a team of data scientists, geographers, statisticians, immunologists, and laboratory specialists to help us deliver cutting edge research using linked data and bio-sampling techniques in Wales and London. You will get to work alongside leaders in the field of linked data, statistics, epidemiology, and human immunology and join a vibrant research community using the world leading Secure Anonymised Information Linkage (SAIL) Databank research infrastructure and biomedical research facilities within the Institute of Life Science at Swansea University.
We are looking for a Research Analyst - GIS to join our team who will work closely with various stakeholders, organisations, and groups. Our team regularly collaborates as part of many funded research projects and programmes nationally and internationally. Applications are sought for applicants with skills and experience in geospatial data science, geography or environmental sciences and geospatial programming.
The Wellcome Trust funded MAGENTA (Maternal And preGnancy hEalth aNd elevaTed heAt) project at Swansea University, addresses a critical gap in understanding how climate-related factors, especially heat, impact maternal and neonatal health, particularly in deprived communities in Wales and London. This transdisciplinary data-linkage and biological sampling study aims to understand the effects of heat exposure during pregnancy, considering socio-demographic factors, housing qualities, and other environmental influences. By combining large-scale data analysis with biological sampling, MAGENTA aims to provide comprehensive insights into the interplay between environmental factors and health outcomes, potentially leading to better informed public health strategies and policies. We are recruiting a team of data scientists, geographers, statisticians, immunologists, and laboratory specialists to help us deliver cutting edge research using linked data and bio-sampling techniques in Wales and London. You will get to work alongside leaders in the field of linked data, statistics, epidemiology, and human immunology and join a vibrant research community using the world leading Secure Anonymised Information Linkage (SAIL) Databank research infrastructure and biomedical research facilities within the Institute of Life Science at Swansea University.
We are looking for a Research Analyst - GIS to join our team who will work closely with various stakeholders, organisations, and groups. Our team regularly collaborates as part of many funded research projects and programmes nationally and internationally. Applications are sought for applicants with skills and experience in geospatial data science, geography or environmental sciences and geospatial programming.