Research Associate

Foster City, California


Contract Duration: 16-24 months


Rate: Negotiable


Salary: NA $1.00

• Excellent employment opportunity for a Research Associate in the Foster City, California area.
• We are seeking a highly motivated image analysis scientist to join the Pathobiology group within the Non-Clinical Safety and Pathobiology Division in support of drug-discovery and development projects throughout company pipeline.
• Will work closely with internal and external collaborators to identify and validate novel drug targets and further our understanding of the pathobiology in areas of oncology, fibrosis, virology, and inflammation.
• Responsibilities will include developing, customizing and executing high-throughput image analysis workflows and generating data presentations in a timely fashion.
• You will have a background in biological or computational sciences or a related quantitative discipline.
• Experience with image analysis software (e.g. Halo, Visiopharm, Matlab, Python) and knowledge of image analysis (e.g. filtering signal channels, object segmentation, feature detection and classification).
• Experience in scripting languages (e.g. Python, Matlab) and neural network approaches is highly desirable.
• Applicants should be able to troubleshoot independently and show curiosity-driven engagement in scientific problems
• Conduct high-quality image-based data analysis, and generate detailed reports to support internal decision making
• Evaluate and implement new computational approaches in digital pathology to support the better understanding of histopathological endpoints
• Ensure integrity and deadline-driven timely completion of analysis workflows, data package generation, and report submission

• Graduate Degree (MSc or PhD) in Biological Science/Engineering or in a field related to signal/image processing, pattern recognition, and/or computer vision
• Programming skills and experience with one or more of CellProfiler, Fiji, Python, OpenCV, HALO, Visiopharm or Mathlab is highly desirable
• Experience in deep learning and convolutional neural networks and its applications to image processing and computer vision is desirable
• Experience with whole-slide imaging in support of histopathology data collection and analysis is preferred.
• Must be self-motivated and detail-oriented, exhibit excellent organizational and communication skills, demonstrate the ability to manage multiple priorities and work under tight timelines.
• Specific expertise in predictive modeling using statistical and machine learning methods is a plus.
• Experience in manipulating and analyzing large internal, public and commercial datasets with visualization is a plus
• Familiarity with cell biology and microscopy is a plus