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Job Description

SOFTWARE ENGINEER, McGovern Institute for Brain Research-Senseable Intelligence Group, to engage with neuroscience research collaborators on NIH BRAIN Initiative projects to determine requirements, iterate on architectural specifications, and produce robust and scalable systems that meet identified needs in biological and artificial intelligence research. Responsibilities include programming, deploying, and maintaining software and infrastructure; producing clean, scalable code; participating in constructive peer code review; researching and developing technical specifications for new projects and features; identifying user requirements; engaging in planning and architecture discussions; writing thorough operational documentation; and debugging and testing code.

The group's wide-ranging open science project portfolio includes an international data archive for neurophysiology; software toolkits for neuroimaging, speech, and language research; scalable workflow systems; platforms for voice and survey data collection; and a new knowledgebase platform. This is an ideal position for someone with a solid technical foundation who enjoys adapting existing skills to novel domains. The position offers an opportunity to make significant contributions to various national and international projects.

Job Requirements

REQUIRED: at least two years of programming experience in Python and with machine learning toolkits; experience with software development practices, including git-based version control and CI/CD; excellent project management, analytical, problem-solving, organizational, decision-making, and written and verbal English communication skills; and ability to work effectively and productively in a highly dynamic hybrid environment across all levels with faculty, staff, students, and other members of several consortia. PREFERRED: experience in one or more of the following--neuroscientific computing, data modeling, neuroimaging, graph databases, and/or visualization; research experience developing and testing machine learning models; familiarity with one or more cloud platforms; and experience with virtualization and containerization. Job #22435

3/1/23