Location: New Haven, CT
Cap-Exempt H-1B Position — No lottery required
Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or a newcomer, interested in exploring all that Yale has to offer, your talents and contributions are welcome. Discover your opportunities at Yale! **Overview** Serve as a senior technical resource for data-intensive research across the Yale School of the Environment. Lead the design and deployment of scalable data systems, software tools, and computational workflows with consultative support to faculty and research groups. Act as liaison between researchers and university technical organizations providing storage, compute, cloud, and AI services. Yale is developing a rich computational research support environment. The successful candidate with collaborate with other data and computational research support professionals across campus, including but not limited to the Yale Center for Research Computing (YCRC), The library and statistics lab, Data intensive Social Science Center (DISSC), The Geospatial Data Research Center, and The Digital Humanities Lab. There are also opportunities to interact with Yale’s world class computer science and statistics and data science faculty and students. The successful candidate will have strong software engineering fundamentals in Python; working proficiency in at least one of R or SQL. Experience designing and deploying data pipelines and computational workflows in research environments. Experience with Linux operating systems, HPC, job scheduling, and distributed computing. Experience with machine learning & AI model development, evaluation, optimization, and deployment. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud). Experience managing large-scale datasets, including out-of-core processing and columnar formats (Parquet, Arrow). Proficiency with version control (Git/GitHub) and collaborative development workflows. Famili