There are still lots of open positions. Let's find the one that's right for you.
At Thermo Fisher Scientific, you'll do important work, like helping customers in finding cures for cancer, protecting the environment, or making sure our food is safe. Your work will have real-world impact, and you'll be supported in achieving your career goals. This position is located in Bothell, WA, within the Biosciences Division. In this role, you will be responsible for implementing AI/ML algorithms for commercial biological or microscopy applications. This includes tackling problems in instrument automation, computational imaging, image analysis, and data analysis. You will need a strong understanding and practical experience in crafting algorithms that implement a wide range of techniques, including traditional image analysis and processing algorithms, numerical methods, optimization algorithms, statistical algorithms, and advanced algorithms such as deep learning, generative models, and reinforcement learning. To succeed in this position, you will need to have a Ph.D. or Master's degree in Engineering, Mathematics, Physics, Computer Science, or a related field, along with experience in image processing, AI, and Machine Learning technologies. A strong statistical, mathematical, and physics background is essential for modeling sophisticated microscopy and biological systems. You should have a proven track record of producing production-quality software products and experience with multiple programming languages, including C#, C++, and Python. Familiarity with software engineering principles, modern agile development processes such as Scrum, and software architecture for sophisticated applications is also required. You will lead projects, manage schedules, prioritize work, and break tasks into manageable components. Providing technical guidance and mentoring to junior members will be part of your responsibilities. You will excel in team situations, collaborating with other algorithm developers, software engineers, product managers, biologists, application specialists, software architects, and hardware engineers.