Decision Support Tools Engineer
Core
Develop automation scripts, pipelines, and visualization tools to accelerate the design, testing, and deployment of decision support algorithms for continuous physiological sensor platforms.
Role type
Decision Support Tools Engineer
Builds
Automation pipelines, interactive visualization tools, reusable toolkits, and data wrangling workflows for algorithm evaluation.
Domain
Healthcare diagnostics / Medical devices / Continuous physiological monitoring
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python scripting and automation, data manipulation (pandas, NumPy), data visualization (Matplotlib, Plotly, Streamlit), version control (Git), time-series data handling, generative AI tool integration, end-to-end tool delivery
Preferred skills
Regulated industry experience, Design of Experiments (DOE) methodologies, continuous sensor data exposure, lightweight web app development, CI/CD pipelines, prompt engineering, cloud sandbox environments
Technologies
Python, pandas, NumPy, Matplotlib, Plotly, Streamlit, Git, GitHub Copilot, ChatGPT, Claude, CSV, JSON, Azure, AWS
Responsibilities
Develop and maintain automation scripts and pipelines for algorithm design and testing; Build interactive visualization tools for performance analysis and clinical review; Design and implement Design of Experiments (DOE) matrices; Leverage enterprise AI tools to prototype and scale internal tooling; Create reusable toolkits for algorithm developers and clinical scientists; Support data wrangling workflows to transform raw sensor data; Collaborate with data scientists and regulatory teams; Document tools and standard operating procedures
Seniority
Mid-level, hands-on IC