Sr Scientist, Quantitative Bioimaging

📋 Description

• Develop, optimize, and apply imaging assays and quantitative image-analysis workflows for 2D and 3D
• Collaborate with wet-lab assay scientists, imaging specialists, and computational scientists from
• Design and implement reproducible computer-vision and machine-learning pipelines for image
• Extract biologically meaningful, multiparametric features from high-content imaging datasets and
• Establish practical quality-control and evaluation frameworks that assess image and assay quality
• Apply statistical, machine-learning, and deep-learning methods to identify candidate imaging

🎯 Requirements

• BS, MS, or PhD in engineering, biophysics, computational biology, imaging science or a related
• Demonstrated experience with microscopy, high-content imaging, quantitative image analysis, or
• Experience working with at least one relevant imaging modality or assay type, such as confocal
• Working knowledge of machine-learning or deep-learning approaches for biological imaging, with the
• Proficiency with the Python data-science ecosystem, including NumPy, pandas, Polars, scikit-learn
• Strong biological grounding, attention to experimental rigor, and demonstrated ability to

🎁 Benefits

• Comprehensive package of benefits including paid time off (vacation, holidays, sick)
• Eligible to participate in short-term incentive program.
• May be eligible to participate in long-term incentive program.