Base: $90,000.00 – $180,000.00; bonus/equity: not ...
Onsite
Python scripting and data manipulation
Data visualization with matplotlib or plotly
Version control using git/github
Abbott is seeking a Decision Support Tools Engineer for their New Medical Sensors team in Alameda, CA. The role involves developing automation scripts and tools for decision support algorithms related to physiological sensor platforms, requiring a background in engineering or computer science
Job Summary
This role involves developing automation scripts and interactive visualization tools to accelerate the design and testing of decision support algorithms for wearable medical sensors.
The position offers access to comprehensive benefits including free medical coverage, a high employer contribution retirement plan, and tuition reimbursement programs.
Candidates will collaborate cross-functionally with data scientists and regulatory teams to build reusable toolkits that enable efficient algorithm analysis without manual intervention.
Matching Summary
Match Score: 85
Abbott is seeking a Decision Support Tools Engineer for their New Medical Sensors team in Alameda, CA. The role involves developing automation scripts and tools for decision support algorithms related to physiological sensor platforms, requiring a background in engineering or computer science.
Salary
Base: $90,000.00 – $180,000.00; Bonus/Equity: Not specified; Benefits: Free medical coverage, retirement savings plan, tuition reimbursement
Skills & Requirements
Must-have
Python scripting and data manipulation
Data visualization with Matplotlib or Plotly
Version control using Git/GitHub
Experience with tabular and time-series data
Hands-on generative AI tool usage
Nice-to-have
Regulated industry experience in medical devices
Design of Experiments (DOE) methodology knowledge
Continuous sensor data familiarity like CGM
Lightweight web app development skills
CI/CD pipeline and workflow orchestration
Prompt engineering and LLM API integration
Cloud sandbox prototyping experience
Key Requirements
Bachelor's degree in Engineering, Computer Science, or Biomedical Engineering
1-3 years of professional experience
Proficiency in Python for automation and data manipulation