Vacancy for Image Analyst at The Francis Crick Institute, London, UK


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This is a full-time, permanent position on Crick Terms and Conditions of Employment.

Overview

Imaging is a cornerstone technology underpinning science at the Crick. We have a critical need to support the analysis of data from a wide-range of imaging modalities including light microscopy, electron microscopy, histology, and pre-clinical imaging. To address these needs an Image Analysis Group comprised of two positions has been created within the CALM STP. We now seek to fill the second of these roles. The Image Analyst will provide training and assistance in image analysis through activities including walk-up assistance, help-desks, and training seminars. They will also work in close association with CRGs to select and develop research projects in greater depth.

Job Description

The core responsibility of the Image Analyst is to provide CRGs with the tools needed to rigorously and efficiently extract quantitative data from their images. In the first instance, this will involve training users in basic quantitative techniques, with a specific focus on using open source tools including (but not limited to) FIJI/ImageJ, CellProfiler and Ilastik. The Image Analyst will also support the use of commercial software such as Imaris, NIS Elements, Zen and Huygens, in party by helping to administer workstations maintained by the CALM STP. The Image Analyst will work with CALM staff and CRGs to develop optimised image acquisition and analysis workflows. This role is an excellent opportunity for someone with appropriate skills to help Crick Research Groups (CRGs) answer a wide range of exciting scientific questions.

Key Responsibilities

These include but are not limited to:

  • Training microscopy users how to perform image analysis tasks
  • Assisting CRGs with more involved workflows, including colocalisation, segmentation and tracking
  • Assisting CRGs with experimental designs that facilitate quantitative image analysis
  • Development and maintenance of automated analysis pipelines
  • Assisting with the analysis, interpretation, and presentation of quantitative data
  • Communication to internal and external audiences

Key Experience and Competencies

Essential:

  • A degree and PhD (or similar experience) in a physical or life science
  • Experience using light microscopy to answer defined biological questions
  • Training and/or teaching experience
  • Experience developing automated image analysis workflows with FIJI, CellProfiler,
  • Ilastik, or similar
  • Knowledge of basic data analysis and presentation using Excel, GraphPad Prism, or similar
  • Ability to work effectively within a team
  • Ability to work independently when required
  • Excellent project management skills, including the ability to prioritise work and manage
  • multiple projects
  • Effective written and verbal communication skills
  • Ability to think creatively and problem-solve

Desirable:

  • Experience with imaging modalities other than light microscopy; eg: electron microscopy,
  • histopathology, PET/SPECT, CT or MRI
  • Experience of scripting with Micro-Manager
  • Experience of data analysis with CellProfiler Analyst
  • Programming skills in a “mainstream” language such as Java, C, or Python
  • Familiarity with neural networks
  • Experience running jobs on a cluster
  • Experience with use or management of OMERO
  • Evidence of advanced data analysis expertise using Matlab, Octave, R or similar
  • Knowledge of data integration and pipelining tools such as KNIME

Apply at the link below:
https://jobs.crick.ac.uk/