Full-Time

Digital Health Product Specialist

Posted on 10/31/2025

Rice University

Rice University

Compensation Overview

$95.9k - $122.4k/yr

Houston, TX, USA

In Person

On-campus position; fully on-site.

Category
AI & Machine Learning (2)
,
Required Skills
Scikit-learn
Python
Microservices
Pandas
Requirements
  • Bachelor’s degree
  • 2+ years of experience in digital health commercialization and business development with industry partners
  • 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
Responsibilities
  • 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)
  • Ability to analyze the Digital Health Institute research portfolio and identify and develop translational opportunities for digital health products and services that can be brought to market
Desired Qualifications
  • Master’s in Computer Science, Software Engineering, Computer Engineering, or a related field
  • Lead collaborations with external partners, including industry, academic institutions, and healthcare providers, to further enhance the development and implementation of data-driven healthcare solutions
  • 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
  • Manage complex research projects, including timelines, deliverables, and coordination with internal and external stakeholders
  • Seek and support the development of new research grants by contributing to proposal writing and identifying funding opportunities

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