Decision Support Tools Engineer

JOB DESCRIPTION:

Working at Abbott

At Abbott you can do work that matters grow and learn care for yourself and your family be your true self and live a full life. Youll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution
• Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity working mothers female executives and scientists.

The Opportunity

Abbott New Medical Sensors is an innovative and exciting new venture investigating and commercializing novel technologies that will provide patients and the professionals who treat them with better health insights across a broad range of disease states. Our breakthrough wearable technologies support medical decision making and encourage patient-centric care with the combined aim of improving medical outcomes.

Although we are part of a Fortune 500 healthcare company we embrace the entrepreneurial spirit of a start-up and are not afraid to challenge the status quo. We are preparing for significant growth in new areas of health and healthcare and are assembling a best-in-class team to take us into this new future.

We are seeking a high-calibre individual with a background in decision support algorithms and tools development to be part of Abbott New Medical Sensors team.

This is an onsite opportunity based out of Alameda CA.

What Youll Work On

• Develop and maintain automation scripts and pipelines that accelerate the design testing and deployment of decision support algorithms for continuous physiological sensor platforms (e.g. CGMs).
• Build interactive visualization tools for algorithm performance analysis trend qualification alert concordance and clinical feasibility review.
• Design and implement Design of Experiments (DOE) matrices to systematically evaluate algorithm parameter spaces threshold configurations and edge-case scenarios.
• Leverage enterprise AI tools and AI sandboxes (e.g. Copilot Claude internal LLM platforms) to rapidly prototype iterate on and scale internal tooling.
• Create reusable toolkits and templates that enable algorithm developers and clinical scientists to run analyses generate reports and compare algorithm variants without manual intervention.
• Support data wrangling and formatting workflows transforming raw sensor data exports into structured inputs for algorithm evaluation without owning the algorithm science itself.
• Collaborate cross-functionally with data scientists statisticians and regulatory/quality teams to understand tooling needs and deliver fit-for-purpose solutions.
• Document tools workflows and standard operating procedures to ensure reproducibility and enable team adoption at scale.
• Continuously identify opportunities to reduce manual effort improve turnaround time and increase rigor in algorithm development workflows.

Required Qualifications

• Bachelors degree in engineering Computer Science Biomedical Engineering or a related technical field.
• 13 years of professional experience.
• Proficiency in Python for scripting automation and data manipulation (pandas NumPy or similar).
• Demonstrated experience building data visualizations (Matplotlib Plotly Streamlit or equivalent).
• Familiarity with version control (Git/GitHub) and collaborative development workflows.
• Comfort working with tabular/time-series data formats (CSV JSON structured sensor data).
• Hands-on experience using generative AI tools (GitHub Copilot ChatGPT Claude or similar) as part of a development workflow not just casual use but as an integral productivity accelerator.
• Strong problem-solving mindset with the ability to independently scope build and deliver small tools end-to-end.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience in aregulated industry(medical devices pharma diagnostics) or awareness of design control / V&V concepts.
• Familiarity withDesign of Experiments (DOE)methodologies or statistical experiment design.
• Exposure tocontinuous sensor data(CGM wearables or similar physiological signals).
• Experience buildinglightweight web apps or dashboards(Streamlit Dash Flask Gradio) for internal stakeholders.
• Familiarity withCI/CD pipelines task runners or workflow orchestration (GitHub Actions Makefiles Airflow).
• Experience withprompt engineeringand integrating LLM APIs into automated workflows.
• Exposure tocloud or sandbox environmentsfor prototyping (Azure AWS or enterprise AI platforms).
• Demonstrated ability to learn new tools and frameworks rapidly and independently a builder mentality over a researcher mentality.
• Portfolio GitHub profile or examples of tools/scripts built for internal process improvement.

The base pay for this position is

In specific locations the pay range may vary from the range posted.

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