Research Associate in Modelling Friedreich's Ataxia Using iPSC-derived Neurons

1000scholars; Sheffield; Sur place; GBP 38 000 - 46 000; Plein temps

Résumé du poste

Sheffield Institute for Translational Neuroscience (SITraN) is seeking a Postdoctoral Research Associate in the Division of Neuroscience to study Friedreich’s ataxia using human iPSC-derived neuronal models. You will work with a multidisciplinary team to plan experiments, analyze data, and advance translational approaches.

The role involves refining research methodologies, contributing to publications and funding applications, and guiding students and junior researchers in a collaborative SITraN

Qualifications

• PhD level in Neuroscience or related field with strong lab-based training.
• Experience planning and delivering independent research within a team.
• Demonstrated expertise in human iPSC models and neuronal differentiation.
• Experience with iPSC culture, imaging and electrophysiology is a plus.

Responsabilités

• Plan and deliver experimental studies using human iPSC-derived neuronal models.
• Analyze and interpret data; troubleshoot methodology.
• Contribute to publications, presentations and grant applications.
• Provide guidance to students and junior researchers.

Connaissances

Data analysis

Experimental planning

Independent research

Collaborative work

Troubleshooting

Formation

PhD in Neuroscience or related

Outils

iPSC culture

Differentiation

Immunocytochemistry

Fluorescence microscopy

Patch-clamp electrophysiology

RNA sequencing

Molecular biology

Description du poste

We have an exciting opportunity in the Division of Neuroscience, School of Medicine and Population Health, for an enthusiastic and ambitious Postdoctoral Research Associate to use their research expertise in human induced pluripotent stem cell (iPSC) and neuronal models to make an impact on our understanding of Friedreich’s ataxia (FA) and the development of potential therapeutic approaches.

You will join the laboratories of Dr Matt Livesey, Prof Dame Pam Shaw and Profs Hautbergue, Mead and Mortiboys at the Sheffield Institute for Translational Neuroscience (SITraN), working alongside a multidisciplinary team of researchers, postdoctoral scientists and technical colleagues. SITraN is an internationally recognised centre of excellence for research into neurodegenerative diseases and therapeutic development.

You will work in a well-connected research environment with expertise spanning neurodegenerative disease, iPSC models, neuronal biology, electrophysiology, molecular biology and therapeutic development. You will play a key role in a collaborative programme investigating the cellular mechanisms underlying FA and the effects of novel therapeutic compounds.

You will take responsibility for planning and delivering experimental studies using human iPSC-derived neuronal models, analysing and interpreting data, and contributing to the development and optimisation of research methodologies. You will have the opportunity to apply a range of complementary approaches, including iPSC culture and differentiation, immunocytochemistry, fluorescence microscopy, whole-cell patch-clamp electrophysiology, molecular biology and RNA sequencing.

This varied and dynamic role will provide you with the opportunity to develop your research profile while making an important contribution to a translational neuroscience programme. You will contribute to experimental design, troubleshooting, data analysis and interpretation, scientific presentations, publications and future funding applications. You will also provide guidance and practical support to students and less experienced researchers.

Educated to PhD level in Neuroscience, Biological Sciences, Biomedical Sciences or a related subject, you will have demonstrable experience of laboratory-based research and the ability to plan and deliver research independently within a collaborative environment. Experience of human iPSC models, neuronal differentiation and/or relevant experimental techniques described above would be a significant advantage.