Digital Health Product Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Department:
Job Summary
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 nations 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 Rices 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 Rice policy 440 work arrangements may be subject to change.
Hiring Range: $72600 - $92500
*Exempt (salaried) positions underFLSA 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:
- Bachelors 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
- Masters 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: 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 Universitys Disability Resource Center at or for support.
If you have any additional questions please email us at Thank you for your interest in employment with Rice University.
Key Skills
- APQP
- Six Sigma
- GD&T
- Root cause Analysis
- CAD
- Project Leadership
- SolidWorks
- Mechanical Engineering
- Quality Management
- Product Development
- Catia
- Manufacturing
