Edtech.com's Summary

Stanford University is hiring an AI Data Science Software Developer to build AI research tools for the NHLBI AI Data Science Center within the Department of Medicine. The developer creates reproducible agentic AI workflows for biomedical and clinical research data, working alongside researchers, clinicians, and engineers. The goal is to turn emerging AI capabilities into practical software that advances research on heart, lung, blood, and sleep health.

Highlights

Develop reproducible agentic AI workflows that run on biomedical and clinical research data.
Lead the implementation of research software integrations and the deployment workflows around them.
Design and deploy cloud and on-premises system integrations that use private network topologies, secure credential management, and identity controls.
Document system builds and application configurations, and keep that documentation updated as the systems change.
Evaluate new features and technologies, then integrate the ones that fit into the team's computing environment.
Lead projects of moderate complexity when needed and serve as a technical resource for applications.
Mentor junior software developers while following the team's software development methodology.
Bring a bachelor's degree and five years of relevant experience, or an equivalent combination of education and experience.
Show expertise in designing, developing, testing, and deploying applications, along with data modeling and solving highly technical logic problems.
The posted salary range is $117,536 to $219,400 per year for this two-year fixed-term, full-time position.

AI Data Science Software Developer Full 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.

Pay Range

$117,536-$219,400

Pay Frequency

Annually

Fixed Term

Stanford Schools and Units

School of Medicine

Full time or Part time

Full Time

Regular or Temporary

Regular

Job Category

Information Technology Srvcs

Posting Date

10/08/2026

Grade

Job Identification

201332

Notice to Applicants

The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Stanford University provides job pay ranges representing its good faith estimate of what the university reasonably expects to pay for a particular job. The specific pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate, including but not limited to geographic work location, relevant knowledge, skills and abilities, relevant education, years of relevant experience, depth and breadth of relevant experience, and performance; further including but not limited to other business and organization needs such as the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the university, school/ unit, department, as well as job reporting relationships.

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AI Data Science Software Developer

Edtech.com's Summary

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