Histopathology Data Scientist

17 hours ago


Stevenage, Hertfordshire, United Kingdom ENGINEERINGUK Full time
Benefits: As a Computational Histologist at ENGINEERINGUK, you can expect a competitive salary of $120,000 - $150,000 per year, depending on experience, plus benefits and opportunities for growth. Our team is dedicated to advancing the field of computational histology and we are looking for talented individuals like you to join us

About the Role:
This is an exciting opportunity for a motivated individual to contribute to the analysis of complex spatial biology datasets and accelerate the adoption of methods such as 3D histology and virtual staining. You will work closely with our team to lead the analysis of 3D images and generate computational models for stain-to-stain transformation and virtual stain from un/stained digitally scanned images.

Responsibilities:
  • Lead the analysis of 3D images to support investments in ex-vivo 3D imaging technologies.
  • Generate computational models for stain-to-stain transformation and virtual stain from un/stained digitally scanned images.
  • Contribute to the development of models for virtual staining or 3D histology.
  • Contribute to broader non-clinical histology image and data analysis packages in support of project teams.
  • Perform image/data analysis as appropriate and required.
  • Line management responsibilities for a data sciences apprentice starting in Sep 2025.
  • Provide advice, training, mentoring and support in computational data analysis to members of the group/department as appropriate.

Requirements:
  • Bachelor's degree in Life Sciences, Computer Sciences or related discipline.
  • Experience in organs and organoids 3D image analysis in fixed samples and/or experience of Virtual staining and methods to digitally generate histological stains (H&E, Special Staining, IHC, IF).
  • Experience in spatial multiplex imaging data analysis (multiplex IF, 10X Xenium/Visium).
  • Experience with computer coding (R/python) and with complex mathematical concepts.
  • Experience in leading scientific collaborations with academic institutions and commercial partners and experience in mentoring and supervising students and junior colleagues.
  • Proven track record of leading complex matrix projects through conception, and delivery and evidence of being able to develop strong interpersonal relationships with colleagues with a diverse set of skills and experience.
  • PhD in a Life Sciences, Computer Sciences or related discipline.
  • Experience in image data visualization and analysis by using both commercial and open-source software packages (Halo, Visiopharm, etc).
  • Good practical or theoretical knowledge of routine histology, single and multiplex IHC staining protocol optimization.


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