Research Software Engineer

Summary

The Machine Learning Engineer provides services to support the Department of Machine Learning and its Principal Investigators' research portfolio. Key responsibilities include administering computing infrastructure and managing databases, developing software tools for machine/deep learning applications, participating in software tool planning, implementation, and conduct, interacting with investigators and collaborators, training new staff, maintaining computer skills, and maintaining independence.

Responsibilities

• Develop informatics software and analysis tools for machine learning analyses of genomic, clinical, and imaging datasets.
• Provide documentation and user support enabling computational researchers to access and use informatics software.
• Maintain well-curated, highly structured, transparent omics, imaging, or clinical data resources and databases suitable for machine learning.
• Develop software tools to integrate bioinformatics and machine learning software applications with data resources.
• Establish and maintain standards for structured software engineering, including requirements, design, code, test, quality, configuration & release management, and project management.

Credentials and Qualifications

• Minimum of bachelor’s degree with two (2) years of software development experience.
• Preference given to software development experience in biomedical data analyses and machine learning applications.