Digital Health Product Engineer

Special Instructions To Applicants:

All interested applicants should attach a resume in the Supporting Documents section of the application, preferably in a PDF format to avoid any formatting issues.

About Rice:

Boasting a 300-acre tree-lined campus in Houston, Texas, Rice University is ranked among the nation’s top 20 universities by U.S. News & World Report. Rice has a 6-to-1 undergraduate student-to-faculty ratio, and a residential college system, which supports students intellectually, emotionally and culturally through social events, intramural sports, student plays, lectures series, courses and student government. Developing close-knit, diverse college communities is a strong campus tradition, which is why Rice is highly ranked for best quality of life and best value among private universities.

Rice is also a wonderful place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice’s culture. They come through in the way we treat each other and the welcome we extend to our visitors. These values can be recalled simply by our name — RICE — Responsibility, Integrity, Community and Excellence.

Position Summary:
We are seeking a highly motivated development engineer to focus on building and maintaining machine learning (ML) software and pipelines that power digital health innovations. The ideal candidate will have strong software engineering fundamentals, hands-on ML experience, and a passion for healthcare impact.

• Workplace Requirements:
• On-campus position: This position is exclusively on-site, necessitating all duties to be performed in person. Per Rice policy 440, work arrangements may be subject to change.
• Hiring Range: $72,600 - $92,500
• *Exempt (salaried) positions under FLSA are not eligible for overtime.
• This position is funded by a grant, soft, and/or restricted funds. Continued employment is contingent on the renewal of funding.

Minimum Requirements:

• Bachelor’s degree
• 2+ years of related experience
• In lieu of the experience requirement, additional related education, above and beyond what is required, on an equivalent year-for-year basis may be substituted

Skills:

• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
• Familiarity with version control (Git) and collaborative development

Essential Functions:

• Design, build, and maintain end-to-end ML pipelines for data ingestion, preprocessing, training, validation, and deployment
• Collaborate with data scientists, clinicians, and engineers to translate research models into scalable production systems
• Develop APIs, microservices, and cloud-based deployment frameworks to support ML applications
• Ensure reproducibility, scalability, and compliance with healthcare data standards (HIPAA, FDA guidance)
• Optimize pipelines for performance, cost, and reliability
• Contribute to code reviews, documentation, and team best practices

Preferences

• Master’s in Computer Science, Software Engineering, Computer Engineering, or a related field
• Experience with data pipelines (e.g., Airflow, Prefect, Luigi) and cloud platforms (e.g., AWS, GCP, or Azure)
• Understanding of CI/CD workflows, containerization (e.g., Docker, Kubernetes)
• Experience in digital health, medical data, or regulated environments
• Knowledge of healthcare data formats (HL7, FHIR, DICOM)
• Background in signal processing, time-series, or imaging data
• Experience deploying ML in clinical/research settings

Why Join Us?

• Work at the intersection of AI, medicine, and digital health innovation
• Collaborate with a multidisciplinary team of top clinicians, researchers, and engineers
• Opportunity to directly impact patient care and outcomes

Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits

Rice Mission and Values: Mission and Values | Rice University

Rice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please contact Rice University’s Disability Resource Center at 713-348-5841 or adarice@rice.edu for support.

If you have any additional questions, please email us at jobs@rice.edu. Thank you for your interest in employment with Rice University.