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at HHMI working in the Science Operations Office located at Stanford University in Stanford, California. The role involves assisting the Science Operations Services (SOS) in the delivery of financial
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at colleges and universities to participate in national collaborative research projects managed through the Science Education Alliance (SEA) program, comprehensive educational tools and resources developed and
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Primary Work Address: 4000 Jones Bridge Road, Chevy Chase, MD, 20815 Current HHMI Employees, click here to apply via your Workday account. HHMI is focused on supporting and moving science forward in
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administrative professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. HHMI’s Headquarters is located on a beautiful 40-acre campus in the greater
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, students, and professionals. Together, we’re unlocking the fundamentals of biology and building an open, inclusive future for science. About the Role: We have an exciting opening for a Science Operations
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Current HHMI Employees, click here to apply via your Workday account. HHMI is focused on supporting and moving science forward in a variety of different ways ranging from conducting basic biomedical
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protein engineering team to ensure the seamless integration of computational and experimental workflows. Strong programming skills in Python, PyTorch, and JAX are required. Familiarity with protein modeling
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sequencing (preferred but not required). Interest or experience in technology development in genomics and cancer biology. Additional computational/data analysis experience (preferred but not required). Soft
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develop practices that enable safe application of this technology. Collaborate with interdisciplinary teams at HHMI Janelia and Fred Hutchinson Cancer Center to ensure seamless integration of computational
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collaborative and interdisciplinary team and there is ample opportunity to learn new techniques and be involved in exciting science using cutting-edge techniques. The lab is a part of the Center for Computational