Job Title:
Postdoctoral Fellow (Parkinson's Disease Computational Research)
About Our Department:
Physiology & Medical Physics
About This Opportunity:
We are seeking a highly motivated and skilled post-doctoral researcher with strong computational background in spatial/single-cell multi-omics, multiplex fluorescence imaging, associated bioinformatics techniques, and complementary systems modelling.
Key Objectives:
* Correlating cellular transcriptome/proteome changes with
* Validating findings in clinical samples using high-resolution multiplexing approaches, enabling single-cell profiling of 10,000 cells in tissue sections.
* Systematically investigating disease pathways in the context of cell-type-specific responses using systems biology and genome-scale modelling.
Duties:
* Conduct research and contribute to the JPND-funded 4 DPD-Omics programme focussing on spatial/single-cell multi-omics data analyses, systems modelling and spatial imaging data analysis
* Analyse and integrate multi-omic datasets (transcriptomics, proteomics, metabolomics) from pre-clinical and cellular models of Parkinson's and from human post mortem tissue
* Perform spatial and single-cell transcriptomics/proteomics data analyses
* Develop and analyse systems models of critical signalling pathways, including genome-scale metabolic models (GSMMs) or similar
* Conduct analysis of spatial tissue fluorescence imaging data
* Translate findings into impactful, actionable results
* Communicate results through scientific publications, presentations at conferences and within the 4 DPD-Omics network
* Collaborate with and support other researchers within the team as needed
* Comply with statutory legislation, RCSI, and department rules to maintain personal and workplace welfare and safety
* Undergo training and professional development activities as required
* Represent the best interests of the Department and RCSI at all times
* Perform other duties as may be required from time to time
About You:
* The candidate should have a PhD (or submitted PhD thesis) in Computational/Systems Biology, Bioinformatics or a closely-related discipline
* Proficiency in programming languages such as Python or R (or similar)
* Demonstrated analytical skills, with a proven ability to manage and interpret large-scale omics datasets
* A strong track record of impactful research, evidenced by high-quality publications
* Experience with multi-omics data analyses (spatial or single-cell experience desirable) and integration
* An understanding of the field of Parkinson's Disease or related neurodegenerative conditions
* Excellent writing, interpersonal, and presentation skills
* Strong attention to detail, thoroughness and organisational skills, and ability to work to deadlines
* A collaborative mindset, with the ability to work both independently and as part of a team in a dynamic research environment