The post is located at the Institute of Astronomy, but the successful candidate will be expected to spend time at Precision Breast Cancer Institute situated on the Addenbrooke's Biomedical Campus in Cambridge (West Cambridge).

Fixed-term: The funds for this post are available until 31st Mar 2025 in the first instance. Starting Date: From 1st August 2023 or as early as possible thereafter.

This is an exciting opportunity for an ambitious applications data scientist to work within the Cambridge Astronomical Survey Unit (CASU) at the Institute of Astronomy (IoA) at West Cambridge site as part of the IMAXT Cancer Research UK Grand Challenge Project and Precision Breast Cancer (PBC) Institute (https://www.cambridgecancer.org.uk/our-research/precision-medicine-institute/ )Teams. The post is located at the Institute of Astronomy, but the successful candidate will be expected to spend time at Precision Breast Cancer Institute situated on the Addenbrooke's Biomedical Campus in Cambridge (West Cambridge).

The Imaging and Molecular Annotation of Xenografts (IMAXT: see http://imaxt.cruk.cam.ac.uk) project is taking an integrated approach in producing faithful three-dimensional maps of tumours and their host environment, wherein each cell is identified and molecularly annotated. These maps will be accessed in an interactive, virtual reality framework. This will provide an entirely new way for scientists and physicians to understand how cancer develops and predict its clinical behaviour.

CASU undertakes a range of activities in wide field astronomy including: developing and operating pipeline processing and analysis systems for optical and near-infrared mosaic imaging and spectroscopic surveys; together with various space mission projects including PLATO and Euclid, and manages a data processing and archive centre.

Within IMAXT, CASU is responsible for developing high throughput pipelines to segment and align the various IMAXT imaging datasets. CASU is also managing the flow of reduced data, both images and catalogues into the central IMAXT database, and defines the structure of this database. Within the PBC, the focus is on developing novel algorithms for high throughput analysis of digitised histopathology imaging data, automated scoring methodology for pathology-related biomarkers and use of this data in multi-modal data integration.

https://www.jobs.cam.ac.uk/job/41137/