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currently standing up a CRM and CDP and foundational analytics infrastructure to track performance across those channels — what's missing is the person who takes that foundation, runs it day to day, and
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operational functions. This role builds the data-engineering foundation every AI application and knowledge layer at HHMI runs on. The work is hands-on. This person implements the pipelines, transformation
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implement better ways of working. Actively use AI and other technology to improve how HR work gets done, from reducing manual steps and improving documentation to creating better tools and experiences
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negotiate contract terms and renewals to HHMI's advantage, build the service level agreements and terms that define what good looks like for us, and run the compliance reviews that catch it when a vendor
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letter describing their interest in this role and how their experience aligns with it. We encourage qualified candidates who are eligible to work in the United States to apply. Please note, we are not able
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. These tools write and execute code, optimize experimental and model parameters, and drive instruments. Letting AI agents act on shared research infrastructure requires serious safety engineering. The
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to do it well, including AI-assisted contract review and spend analysis, are moving fast. This role is expected to keep pace with them and bring the rest of the sourcing team along. The role runs the full
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research practices and technologies to solve biology’s deepest mysteries. HHMI launched Janelia in 2006, establishing an intellectually enriching environment for scientists to do creative, collaborative
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here is enterprise product engineering. This role requires real production experience: systems versioned, tested, deployed through CI/CD, and operated under SLAs, with genuine machine learning and deep
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laboratories and classrooms, you can be sure that your contributions while working here are making a difference. This is a role for someone who can run a function that cannot fail while rebuilding it at the same