Image Analyst
The successful candidate would process and analyze the microscopy images for on-going scientific projects, as well as contribute to the code base of softwares being developed in-house. The analyst will need to work closely with both experimentalists and statisticians to ensure that data and results are communicated smoothly.
Principal Duties and Responsibilities " Under the supervision of project manager, investigate and apply the best-in-class algorithms to process raw microscopy image, extract tabular information from images, assess the quality of the data and carry out statistical analysis " Work closely with cross-functional teams to understand analytical needs, independently and collaboratively formulate analysis plan and implement corresponding analytical workflows, and actively participate in discussions with stakeholders for feedback " Code in Python for image processing and analysis tasks " Effectively present analysis results in a clear and concise manner to key stakeholders Must-Have Qualifications " Degree requirement o PhD in Bioinformatics, Computer Science, Machine Learning, Statistics or Computational Biology, with a record of Publications, plus at least 1 year postgraduate experience, ideally in a pharmaceutical or biotechnology company o Alternatively, you have a PhD in molecular biology, immunology, bioengineering, etc, with a record of Publications, plus at least 1 year postgraduate experience, ideally in a pharmaceutical or biotechnology company, combined with a very strong record of data analysis experience, supported by publication in this area.
o Alternatively, you have a Master or Bachelor degree in Bioinformatics, Computer Science, Machine Learning, Statistics or Computational Biology plus at least 3 years of postgraduate experience " Experience requirement o 3+ years' experience developing or applying biomedical image processing tools and statistical analysis softwares of microscopy image data o Alternatively, you have 3+ years of experience developing or applying high-throughput sequencing data processing and statistical analysis softwares experience for screening experiments " Familiar with the statistical principles behind current best practices in high-throughput molecular data analysis.
" Experience in the Python biomedical image analysis ecosystem, including scipy, scikit-image, imageio, xarray, scikit-learn. " Demonstrated ability to effectively communicate about complex bioinformatics problems to peers, users, and stakeholders." Motivated to learn new biology, technology and analytical methods Nice-to-Have Expertise " Familiarity with deep learning approaches for cell segmentation, feature extraction, and phenotypic analysis " Familiarity with high-dimensional multiplexed imaging data and associated data/image models " Familiarity with domain-specific image processing tools, such as cellpose, cellprofiler and stardist " Familiarity with workflow development tools, such as Snakemake, Nextflow or WDL " Analysis of large chemical/genetic screening datasets " Single-cell genomics and trajectory analysis.