Research Engineer, GUIDE-AI

Job Summary Are you passionate about advancing healthcare through innovative methods and cutting‑edge technology? Do you have experience working across stakeholder groups to build and implement health AI solutions that directly impact clinical care? If so, Stanford University invites you to join GUIDE‑AI within the Computational Medicine division as a Research Engineer to shape how AI is developed, evaluated, and deployed in healthcare. GUIDE‑AI (Guidance for the Use, Implementation, Development, and Evaluation of AI) is a Stanford Medicine initiative that spans Stanford University and Technology and Digital Solutions at Stanford Health Care. The key tenets under GUIDE‑AI’s mission are: Building and deploying healthcare AI solutions to address key opportunities to advance clinical care. Establishing evaluation and monitoring methods to assess deployed AI tools at Stanford Health Care and beyond. Disseminating actionable learnings to support high‑value AI‑augmented care for all. As a Research Engineer for GUIDE‑AI, you will lead technical development across a portfolio of healthcare AI projects, owning everything from data pipeline design to model evaluation and deployment. You will manage and/or work with technical teams across Stanford University, Stanford Health Care, and external partners to create scalable, collaboratively developed methods and tools. Potential projects may include developing innovative monitoring and evaluation methods, patient eligibility‑matching tools, and generative and agentic systems to streamline clinical care delivery. Beyond development, you will contribute to statistical analyses, prospective AI evaluation designs, and grant proposals, shaping study methodologies and supporting funding applications to advance GUIDE‑AI’s mission. Additionally, you will play a key role in mentoring trainees and students, maintaining well‑documented code repositories, and driving long‑term strategic initiatives for AI evaluation in healthcare. Duties Conceptualize design, implement, and develop solutions for complex system/programs independently, such as developing and implementing Python and SQL‑based tools for AI evaluation. Engage in long‑term strategic planning in collaboration with staff and project leadership. Work with a variety of users to gain information, and develop intra‑system trade‑offs 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 grant applications. Contribute to statistical analyses, prospective AI evaluation designs, and grant proposals, shaping study methodologies, constructing statistical plans, and supporting funding applications to advance GUIDE‑AI’s mission. Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment. Follow team software development methodology. Mentor lower‑level software developers, including trainees and students. Actively collaborate with interdisciplinary groups to advance projects that drive both healthcare delivery and technical innovation. Desired Qualifications Proficiency in Python and SQL, with hands‑on experience in data analysis, statistical modeling, and AI evaluation. Expertise in developing and implementing algorithms (e.g., neural networks, clustering, embedding models). Expertise in full‑cycle application development, including design, testing, deployment, and optimization. Strong analytical and problem‑solving skills, with the ability to define and address complex technical challenges. Effective communicator, able to collaborate with both technical and non‑technical stakeholders. Proven ability to lead structured team development projects, ensuring efficient workflows and high‑quality outcomes. Solid foundation in probability and statistics, including power analysis, hypothesis testing, and uncertainty quantification (e.g., constructing confidence intervals, bootstrapping). Experience in AI model evaluation, including performance metric selection, fairness and bias assessment, and data visualization.

• Preferred) Direct collaboration with clinicians, evidenced by first‑author publications in medical journals and/or co‑development of clinically‑facing tools.
• Preferred) Experience with real‑world clinical data models and standards (e.g., FHIR, OMOP) is strongly preferred.
• Preferred) Experience monitoring deployed AI tools, including performance drift detection, alerting, and iterative model updating.
• Preferred) Experience with prospective AI evaluations, including clinical trial design, real‑world validation, and sample size estimation.

Education & Experience (Required) Bachelor’s degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities (Required) 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. Physical Requirements Constantly perform desk‑based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Working Conditions May work extended hours, evening and weekends. Travel on campus to school/units. Working Standards Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, The expected pay range for this position is $138,402 – $163,985 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. 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. #J-18808-Ljbffr Stanford University