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

Abundance Network; United States; Hybrid; USD 90,000 - 120,000; Full time

Job summary

Stanford University, Department of Medicine, seeks 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 and lead the implementation of research software integrations and deployment workflows, working with researchers, clinicians, and engineers to turn emerging AI capabilities into practical software that advances research in heart, lung, blood, and sleep health.

Qualifications

• Expertise designing, developing, testing, and deploying applications.
• Proficiency with application design and data modeling.
• Ability to define and solve logical problems for technical applications.
• Effective communication with technical and non-technical clients.
• Ability to lead activities on structured team development projects.
• Ability to select, adapt, and use a variety of programming methods.
• Knowledge of application domain.

Responsibilities

• 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.
• Document system builds and configurations; maintain and update documentation.
• Provide technical analysis, design, development, conversion, and implementation work.
• Lead projects of moderate complexity when needed.
• Serve as a technical resource for applications.
• Evaluate and integrate new features and technologies into computing environment.
• Follow team software development methodology.
• Mentor junior software developers.

Skills

App development

Data modeling

Problem solving

Communication

Project leadership

Programming methods

Domain knowledge

Education

Bachelor's degree + 5 years experience

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.

Analyze, design, develop, implement, modify, and maintain computer programs for administrative, business or research applications. Interface with users to define system requirements or modifications, debug, and document computer application programs to meet the needs of the user's system.

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.