13406- Postdoctoral Research Fellow

University of Edinburgh; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

A prestigious research institution in Edinburgh is seeking a Postdoctoral Research Fellow in Dr. Kathryn Bowles’ lab. This full-time role focuses on processing and analyzing transcriptomic, proteomic, and metabolomic data from human iPSC-derived organoids. The ideal candidate will have a PhD in Neuroscience, expertise in computational analysis, and experience with single-cell data. They will work independently, contribute to multiple projects, and help produce materials for publication. The salary is between £41,064 and £48,822 per year.

Qualifications

• PhD or higher in Neuroscience or a related field.
• Experience with single cell/nuclei data analysis.
• Expertise in computational analysis techniques.

Responsibilities

• Process and analyze multiple data types including single nuclei sequencing.
• Work independently with day-to-day tasks.
• Collaborate and contribute to various research projects.

Skills

Computational analysis approaches

Single cell or single nuclei data

Integrating different data types

High-performance computing platforms

Education

PhD or other higher level degree (MD/PhD) in relevant discipline (Neuroscience)

Job description

UE07: £41,064 - £48,822 per annum

CMVM / SNCS/ INCR

Full-time, 35 hours per week

Fixed-Term: 1 year

The Opportunity

A postdoctoral research fellow position is available in Dr. Kathryn Bowles’ lab at the University of Edinburgh UK DRI centre. We are looking for a researcher with computational expertise, who is interested in integrating and assessing transcriptomic (single cell/nuclei, long-read), proteomic and metabolomic data derived from human induced pluripotent stem cell (iPSC)-derived organoids and brain tissues. The postdoc will be responsible for processing and analysing multiple different data types, with a particular focus on spatial transcriptomics and single nuclei sequencing. The postdoc will be expected to work with a high degree of independence in day-to-day work. They will have the opportunity to contribute to numerous different projects across both the Bowles lab and collaborator labs, and is encouraged to contribute their own ideas to the direction of the project. Training will be provided as necessary. The successful candidate must be able to work closely with others as a member of a research team, and will produce material for publication and dissemination.

This post is full-time (35 hours per week). The salary for this post is £41,064 to £48,822 per annum.

Your skills and attributes for success

• PhD or other higher level degree (MD/PhD etc) in relevant discipline (Neuroscience).
• Experience with single cell or single nuclei data.
• Prior experience with integrating different data types.
• Expertise in a range of computational analysis approaches.
• Experience with using high-performance computing platforms.