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

Stanford University; Palo Alto (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Stanford University’s Department of Medicine seeks a Software Developer 2 to build AI research tools for the NHLBI AI Data Science Center. You will develop reproducible AI workflows for biomedical data and lead integrations and deployment across cloud and on-premises environments.

The role requires a Bachelor's degree with five years of relevant experience and involves mentoring junior developers, collaborating with researchers, clinicians, and engineers, and delivering robust software solutions

Qualifications

• 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.
• Knowledge of the application domain.

Responsibilities

• Conceptualize design, implement, and develop solutions for complex systems.
• Work with users to gather requirements and balance tradeoffs.
• Document system builds and configurations; maintain documentation.
• Provide technical analysis, design, development, conversion and implementation work.
• Lead projects of moderate complexity as needed.
• Serve as a technical resource for applications.
• Evaluate and integrate new features and technologies into the environment.
• Follow team software development methodology.
• Mentor junior software developers.

Skills

Application design

Data modeling

Technical leadership

Communication

Problem solving

Education

Bachelor's degree

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 forcomplex systems/programs.

• Work with a variety of users to gain information, and developintra-system tradeoffs between different users, as necessary; interactwith a diverse client base and outside vendor contacts.

• Document system builds and application configurations; maintainand update documentation as needed.

• Provide technical analysis, design, development, conversion, andimplementation work.

• Work as a project leader, as needed, for projects of moderatecomplexity.

• 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 acombination of education and relevant experience.

Knowledge, Skills and Abilities:

• Expertise in designing, developing, testing, and deployingapplications.

• Proficiency with application design and data modeling.

• Ability to define and solve logical problems for highly technicalapplications.

• Effective communication skills with both technical andnon-technical clients.

• Ability to lead activities on structured team developmentprojects.

• Ability to select, adapt, and effectively use a variety ofprogramming methods.

• Knowledge of application domain.