Bioinformatician
Applications for this vacancy closed on 4 March 2025 at 12:00PM
We are seeking a postdoctoral bioinformatician to join Dr. Progatzky's
interdisciplinary laboratory for an exciting opportunity focused on cell-
atlasing. This role aims to uncover systems-level insights into human
peripheral glia across barrier organs in both health and disease. You will
collaborate with the Dendrou lab at the Kennedy Institute and also the Haniffa
lab at Sanger Institute. You will analyse large-scale single-cell and spatial
genomics datasets, generating novel insights into peripheral glial biology
providing and hypothesis for experiments conducted in the lab. Working closely
with the wet lab team, you will help identify key regulatory mechanisms for
functional validation, fostering hypothesis-driven translational research.
You will develop, tailor, and implement methodologies, tools, and informatics
structures for data analysis and management in collaboration with the research
team. Additionally, you will develop statistical analysis plans and contribute
to the design and planning of studies, as well as provide guidance to
laboratory and biostatistical staff, assisting with project-related tasks as
needed.
You must hold a PhD in Bioinformatics, Statistics, Mathematics, Computer
Science, or a related computational field with relevance to tissue biology,
particularly in inflammatory disease contexts. You will have proven experience
in genomics, high-throughput data processing, and analysis, with specific
expertise in single-cell RNA-seq data (e.g., 10X Genomics platforms).
Experience with High-Performance Computing (HPC) and/or cloud computing is
desirable.
This is a fixed-term, full time position for 3 years.
_A lower grade offer (Grade 7: £38,674 - £46,913 p.a.) may be made to a less
experienced candidate if a suitable candidate cannot be found to fill the
Grade 8 position._
Due to the nature of the research at the Kennedy Institute of Rheumatology,
this job will require additional security pre-employment checks:
• A satisfactory basic Disclosure and Barring Service check
The closing date for this position is **12 noon 4 March 2025**. You will be
required to upload a CV and supporting statement as part of your online
application.
interdisciplinary laboratory for an exciting opportunity focused on cell-
atlasing. This role aims to uncover systems-level insights into human
peripheral glia across barrier organs in both health and disease. You will
collaborate with the Dendrou lab at the Kennedy Institute and also the Haniffa
lab at Sanger Institute. You will analyse large-scale single-cell and spatial
genomics datasets, generating novel insights into peripheral glial biology
providing and hypothesis for experiments conducted in the lab. Working closely
with the wet lab team, you will help identify key regulatory mechanisms for
functional validation, fostering hypothesis-driven translational research.
You will develop, tailor, and implement methodologies, tools, and informatics
structures for data analysis and management in collaboration with the research
team. Additionally, you will develop statistical analysis plans and contribute
to the design and planning of studies, as well as provide guidance to
laboratory and biostatistical staff, assisting with project-related tasks as
needed.
You must hold a PhD in Bioinformatics, Statistics, Mathematics, Computer
Science, or a related computational field with relevance to tissue biology,
particularly in inflammatory disease contexts. You will have proven experience
in genomics, high-throughput data processing, and analysis, with specific
expertise in single-cell RNA-seq data (e.g., 10X Genomics platforms).
Experience with High-Performance Computing (HPC) and/or cloud computing is
desirable.
This is a fixed-term, full time position for 3 years.
_A lower grade offer (Grade 7: £38,674 - £46,913 p.a.) may be made to a less
experienced candidate if a suitable candidate cannot be found to fill the
Grade 8 position._
Due to the nature of the research at the Kennedy Institute of Rheumatology,
this job will require additional security pre-employment checks:
• A satisfactory basic Disclosure and Barring Service check
The closing date for this position is **12 noon 4 March 2025**. You will be
required to upload a CV and supporting statement as part of your online
application.
dc:spatial |
Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, Roosevelt Drive, Headington, Oxford OX3 7FY
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oo:organizationPart | |
vacancy:applicationClosingDate |
2025-03-04 12:00:00+00:00
|
vacancy:applicationOpeningDate |
2025-02-04 09:00:00+00:00
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vacancy:furtherParticulars | |
vacancy:internalApplicationsOnly |
False
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vacancy:salary | |
type | |
comment |
We are seeking a postdoctoral bioinformatician to join Dr. Progatzky's
interdisciplinary laboratory for an exciting opportunity focused on cell- atlasing. This role aims to uncover systems-level insights into human peripheral glia across barrier organs in both health and disease. You will collaborate with the Dendrou lab at the Kennedy Institute and also the Haniffa lab at Sanger Institute. You will analyse large-scale single-cell and spatial genomics datasets, generating novel insights into peripheral glial biology providing and hypothesis for experiments conducted in the lab. Working closely with the wet lab team, you will help identify key regulatory mechanisms for functional validation, ... We are seeking a postdoctoral bioinformatician to join Dr. Progatzky's interdisciplinary laboratory for an exciting opportunity focused on cell-atlasing. This role aims to uncover systems-level insights into human peripheral glia across barrier organs in both health and disease. You will collaborate with the Dendrou lab at the Kennedy Institute and also the Haniffa lab at Sanger Institute. You will analyse large-scale single-cell and spatial genomics datasets, generating novel insights into peripheral glial biology providing and hypothesis for experiments conducted in the lab. Working closely with the wet lab team, you will help identify key regulatory mechanisms for functional validation, fostering ... |
label |
Bioinformatician
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notation |
177940
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based near | |
page |