AI Data Science Software Developer Hybrid
Listed on 2026-10-12
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Software Development
AI Engineer (Applied/Software), Software Engineer
Stanford University, Department of Medicine, is seeking a Software Developer 2 to build AI research tools for the NHLBI AI Data Science Center. Develop reproducible agentic AI workflows for biomedical and clinical research data. Lead the implementation of research software integrations and deployment workflows, working alongside researchers, clinicians, and engineers to turn emerging AI capabilities into practical software that advances research in heart, lung, blood, and sleep health.
Design and deploy robust cloud and on-premises system integrations, incorporating private network topologies, secure credential management, and identity controls.
This is a 2 year fixed-term, hybrid opportunity.
Responsibilities Core Duties:Conceptualize design, implement, and develop solutions for complex systems/programs.
Work with a variety of users to gain information, and developintra-system tradeoffs between different users, as necessary; interact with a diverse client base and outside vendor contacts.
Document system builds and application configurations; maintain and update documentation as needed.
Provide technical analysis, design, development, conversion, and implementation work.
Work as a project leader, as needed, for projects of moderate complexity.
Serve as a technical resource for applications.
Compare, evaluate, and implement new features and technologies,and integrate them into the computing environment.
Follow team software development methodology.
Mentor junior software developers.
Education and Experience:
Bachelor's degree and five years of relevant experience, or acombination of education and relevant experience.
Knowledge, Skills and Abilities:Expertise in designing, developing, testing, and deploying applications.
Proficiency with application design and data modeling.
Ability to define and solve logical problems for highly technical applications.
Effective communication skills with both technical andnon-technical clients.
Ability to lead activities on structured team development projects.
Ability to select, adapt, and effectively use a variety of programming methods.
Knowledge of application domain.
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