Postdoctoral Research fellow - Computational Biology and Bioinformatics

**About the Role**





We are seeking a highly motivated and talented Computational Biologist to join
the Translational Lung Immunology group, TIDU, led by Prof Ling-Pei Ho
(https://www.imm.ox.ac.uk/research/units-and-centres/mrc-translational-immune-
discovery-unit), working on collaborative projects with Dr Agne Antanaviciute
and her team in the TIDU Computational Biology Group. The Translational Lung
Immunology group studies the immune mechanism of lung injury, regeneration and
fibrosis with a focus on discovery of disease pathways and therapeutic targets
in tissue-centric studies, and translation to therapeutic utility. This
position offers an exciting opportunity to analyse and develop new methods of
single cell and spatial data in tissue, and leveraging breakthroughs with in
depth understanding of disease mechanisms in lung fibrosis.





Our key projects Centre around understanding the integrative network of immune
and structural cells in lung tissue from patients with idiopathic pulmonary
fibrosis and fibrotic pulmonary sarcoidosis, using data from >35 plex imaging
mass cytometry and single cell RNA sequencing. We will use spatial information
of immune and structural cells using a suite of mathematical algorithms (see
Weeratunga P Nat Commun 2023) to help guide the use of single cell
transcriptomic in the same tissue. The work will greatly deepen our
understanding of how cellular immune response and functions in both healthy
and disease conditions. One goal is to develop advanced clustering, annotation
and spatial models to construct a lung tissue map that connects immune cells
to relevant structural cells, enhancing mechanistic understanding of the
disease.





This is a full time appointment fixed term for 2 years.





**About the Nuffield Department of Clinical Medicine**





The Nuffield Department of Clinical Medicine (NDM) is one of the largest
departments of the University of Oxford and is part of the Medical Sciences
Division, with responsibility for a significant part of the teaching of
clinical students within the Medical School.





What We Offer





• Flexible working



• An excellent contributory pension scheme



• 38 days’ annual leave (including bank holidays)



• A comprehensive range of childcare services



• Family leave schemes



• Cycle loan scheme



• Discounted bus travel and Season Ticket travel loans





**About You**





You will join a multi-disciplinary team working in close collaboration with
computational biologists, wet lab biologists and clinicians to deliver
ambitious and cutting-edge research.



We are looking for applicants with a PhD in Computational Biology,
Bioinformatics, Computer Science, Statistics, Mathematics or related field and
programming skills (with proficiency in R and/or Python).You should have
significant experience in single cell/spatial transcriptomics package
ecosystems such as Seurat or Scanpy.





**Application process**



Only online applications received before midday (UK time) on Friday 9th
February 2024 can be considered.



You will be required to upload a covering letter/supporting statement, CV and
the details of two referees as part of your online application.





Interviews are due to be held in person on the afternoon on Monday 19th
February 2024