AI Data Science Software Developer (2-Year Fixed-Term, Hybrid Opportunity)

Stanford University School of Medicine; Palo Alto (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Stanford University School of Medicine is seeking a Software Developer 2 to build AI research tools for the NHLBI AI Data Science Center. The role focuses on creating reproducible AI workflows for biomedical and clinical data and deploying robust cloud and on-premises integrations.

You will collaborate with researchers, clinicians, and engineers to turn emerging AI capabilities into practical software that advances research in heart, lung, blood, and sleep health.

Qualifications

• Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience.
• Experience designing, developing, testing, and deploying applications.
• Proficiency with data modeling and application design.
• Strong problem-solving and logical reasoning for highly technical apps.
• Effective communication with technical and non-technical clients.

Responsibilities

• Conceptualize design, implement, and develop solutions for complex systems/programs.
• Interact with diverse users and outside vendor contacts; document configurations.
• Provide technical analysis, design, development, and implementation work.
• Lead projects of moderate complexity and mentor junior developers.
• Evaluate and integrate new features/technologies into the computing environment.
• Follow team software development methodology.

Skills

Designing applications

Data modeling

Problem solving

Communication

Team leadership

Programming methods

Domain knowledge

Education

Bachelor's degree + 5 years experience

Job description

Job Description

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 develop intra-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.

Minimum Education And Experience

Bachelor's degree and five years of relevant experience, or a combination 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 and non-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.