You will drive the pre-clinical exploration, validation and implementation of high content cellular imaging-based phenotypes and develop algorithms and pipelines to enable the impactful use of complex cellular assays for target ID and validation.   

As a member of the Biomedical Research data science community, you will also benefit from a >300 people global community with extensive know how and resources in compute, data analysis, data engineering and AI/ML. 

In this role, you will:  

• Develop, validate and implement image-processing and analysis workflows and algorithms to enable complex cellular assay development, characterization and readouts.  

• Based on your assessment of the image processing and analysis needs of microscopy-based projects, implement novel image and data processing technologies to design efficient and reusable solutions and pipelines including use of generative AI  

• Communicate results to a diverse audience of computational and experimental scientists and suggest next experimental and in silico next steps 

• Work at the interface of high content imaging and high-resolution molecular data modalities to drive innovative target ID and validation.  

• Be an AI/ML and data steward and educate and train colleagues in the field of AI/ML for computer vision and other biomedical applications 

Minimum Requirements: PhD/MS in computer science, biomedical image computing, computational imaging, or a related quantitative field 

Work Experience:  

Minimum of 2 years of relevant experience in industry or academia (e.g. Postdoctoral Research). 

Skills:  

• Strong programming and data analysis skills in Python and R and practical experience with at least one major deep learning framework (PyTorch, TensorFlow).  

• Strong background in computer vision or computational imaging applied to cellular biology and demonstrated ability to innovate in that space. 

• Skilled in parallel data processing, working in both HPC environments and cloud computing platforms.  

• Proven track record in applying image analysis software such as CellProfiler, ImageJ/FIJI, Napari, ilastik or Imaris. 

• Experience in statistical modeling, machine learning, data visualization, reproducible research practices. 

• High learning agility, and ability to thrive in a collaborative, multidisciplinary environment. 

• Excellent communication skills, demonstrated ability to educate and mentor in the field of data science and AI.  

Desirable 

• You have experience in analyzing images from a diverse range of microscopy modalities, including high-content screening, electron microscopy, light-sheet microscopy and confocal microscopy 

• Drug discovery experience, ideally in target ID and lead finding. 

• Experience with omics (e.g spatial transcriptomics) and ML model deployments/MLOps