Senior Associate Scientist, Computational Biology

📋 Description

• Develop, benchmark, and apply computational methods for high-content imaging, including image
• Evaluate and integrate deep-learning segmentation approaches to improve accuracy and throughput of
• Identify, evaluate, and incorporate new AI and machine-learning tools into imaging and multi-omics
• Analyze imaging and multi-omics datasets and partner with scientists across R&D to address key
• Manage and organize data from internal and published studies and develop interactive
• Apply best practices in code and data management, including workflow orchestration, version

🎯 Requirements

• M.S. with at least three years of relevant experience or Ph.D. with at least one year of relevant
• Hands-on experience analyzing high-content imaging data, including cell segmentation, feature
• Experience applying deep-learning and AI-based methods to image analysis, particularly cell
• Proficiency in R and Python, including experience with relevant tools and packages such as DESeq2
• Familiarity with shell scripting, version control using Git, and cloud-computing environments such
• A fundamental understanding of biology and the ability to apply computational approaches to

🎁 Benefits

• Flexible hybrid work options
• Competitive compensation
• Comprehensive and unique benefits that enhance your health and well-being