Research Software Engineer

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$90,000.00 - $

The Wu Tsai Institute is a university-wide initiative with the mission to understand human cognition and explore human potential by sparking interdisciplinary inquiry. We bring together biological, psychological, and computational perspectives through shared facilities, training and mentorship, innovative faculty hiring, collaborative spaces, community-building events, and moonshot projects. We prioritize mission-driven research that bridges disciplines and advances a more integrated understanding of the mind and brain across scales and species.

We aim to connect this understanding with other sectors of society to gain insight into the broader use and impact of research.

The Institute seeks a highly motivated and skilled Research Software Engineer to join our dynamic team at Yale University. Working closely with the Director of the Center for Neurocomputation and Machine Intelligence and reporting to the Managing Director, the incumbent joins a team science initiative at the Institute titled Grand Challenges in Cognition to create new machine learning models including large language models of the brain and of neuroscience.

This role involves working with scientists across labs to understand their data and build workflows to prepare their data for use in AI models. The work includes systematically surveying and cataloging a wide range of research across multiple laboratories and external, publicly available datasets.

• Interface with neuroscientists to understand their research methods and workflows.
• Systematically survey, evaluate, and catalog ongoing research and existing datasets at shared/open data repositories.
• Collaborate with data scientists and software engineers to map data into desirable formats.
• Build data-specific pipelines for pre-processing, visualization, and quality control.
• Lead training sessions for neuroscientists and specialists, ensuring they are equipped with the necessary skills and knowledge to make the best use of software and datasets developed.

• Solid coding skills and good experience in AI/ML; demonstrated ability to translate experience from an equivalent language.
• Familiarity with GPU computing environments and ML frameworks and libraries.
• Ability to execute multiple simultaneous data-oriented projects with impeccable quality and attention to detail.
• Strong written and oral technical communication skills, including when interacting with non-technical audiences.
• Strong leadership and team skills with the ability to manage multiple projects and stakeholders.

Requires a bachelor's degree in a related area and 4-6 years of experience in the field or in a related area.

• Advanced degree in computer science, engineering, or related field.
• Familiarity working with various modalities of neural, cognitive, and/or behavioral data from public or internal sources.
• Experience working with researchers to understand their data and build workflows to prepare their data for use in AI models.
• Experience leading training sessions on data workflows.

Designs, modifies, develops, writes and implements software programming applications. Supports and/or installs software applications/operating systems. Participates in the testing process through test review and analysis, test witnessing, and certification of software. Familiar with a variety of the field's concepts, practices, and procedures. Relies on experience and judgment to plan and accomplish goals. Performs a variety of complicated tasks. May lead and direct the work of others.

May report directly to a project lead or manager. A wide degree of creativity and latitude is expected.

Requires a bachelor's degree in a related area and a minimum…