Job Description
Abbott Laboratories
Systems Engineer IV
Abbott Laboratories • Alameda, CA, United States • via Abbott Jobs
11 hours ago
Full–time
Apply on Abbott Jobs
Apply on Indeed
Apply on SWE Career Center
Apply on Glassdoor
Apply directly on ZipRecruiter
Apply on Teal
Apply on Ladders
Apply on LocalJobs.com
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's Degree in Engineering or physical science or related engineering field, or an equivalent combination of education and work experience
Minimum 6 years of product development experience
Strong knowledge of defined development process that is consistent with ISO, FDA design control standards or requirements
3 more items(s)
Benefits
The base pay for this position is $100,000.00 – $200,000.00
In specific locations, the pay range may vary from the range posted
Responsibilities
This Systems Engineer IV position is to help establish and mature an enterprise-level systems engineering capability within our medical device organization
This role is responsible for defining, tailoring, deploying, and sustaining rigorous model-based systems engineering (MBSE) processes, methods, and tools across the product lifecycle
The role is responsible for continuous process improvement efforts in adopting, tailoring, and leveraging MBSE best practices that directly enhance project-based product development execution across the organization
16 more items(s)
Job description
This Systems Engineer IV position is to help establish and mature an enterprise-level systems engineering capability within our medical device organization. This role is responsible for defining, tailoring, deploying, and sustaining rigorous model-based systems engineering (MBSE) processes, methods, and tools across the product lifecycle.
The role is responsible for continuous process improvement...
Report this listing
Abbott Laboratories
Decision Support Tools Engineer
Abbott Laboratories • Alameda, CA, United States • via Abbott Jobs
11 hours ago
Full–time
Apply on Abbott Jobs
Apply on Indeed
Apply on IAPMO Career Center
Apply directly on ZipRecruiter
Apply on Glassdoor
Apply on LinkedIn
Apply on LocalJobs.com
Apply on Talent.com
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor’s degree in engineering, Computer Science, Biomedical Engineering, or a related technical field
1–3 years of professional experience
Proficiency in Python for scripting, automation, and data manipulation (pandas, NumPy, or similar)
6 more items(s)
Benefits
Career development with an international company where you can grow the career you dream of
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
An excellent retirement savings plan with a high employer contribution
3 more items(s)
Responsibilities
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
6 more items(s)
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. You’ll also have access to:
• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical 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 bachelor’s 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 You’ll 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
• Bachelor’s degree in engineering, Computer Science, Biomedical Engineering, or a related technical field.
• 1–3 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 a regulated industry (medical devices, pharma, diagnostics) or awareness of design control / V&V concepts.
• Familiarity with Design of Experiments (DOE) methodologies or statistical experiment design.
• Exposure to continuous sensor data (CGM, wearables, or similar physiological signals).
• Experience building lightweight web apps or dashboards (Streamlit, Dash, Flask, Gradio) for internal stakeholders.
• Familiarity with CI/CD pipelines, task runners, or workflow orchestration (GitHub Actions, Makefiles, Airflow).
• Experience with prompt engineering and integrating LLM APIs into automated workflows.
Systems Engineer IV
Abbott Laboratories • Alameda, CA, United States • via Abbott Jobs
11 hours ago
Full–time
Apply on Abbott Jobs
Apply on Indeed
Apply on SWE Career Center
Apply on Glassdoor
Apply directly on ZipRecruiter
Apply on Teal
Apply on Ladders
Apply on LocalJobs.com
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor's Degree in Engineering or physical science or related engineering field, or an equivalent combination of education and work experience
Minimum 6 years of product development experience
Strong knowledge of defined development process that is consistent with ISO, FDA design control standards or requirements
3 more items(s)
Benefits
The base pay for this position is $100,000.00 – $200,000.00
In specific locations, the pay range may vary from the range posted
Responsibilities
This Systems Engineer IV position is to help establish and mature an enterprise-level systems engineering capability within our medical device organization
This role is responsible for defining, tailoring, deploying, and sustaining rigorous model-based systems engineering (MBSE) processes, methods, and tools across the product lifecycle
The role is responsible for continuous process improvement efforts in adopting, tailoring, and leveraging MBSE best practices that directly enhance project-based product development execution across the organization
16 more items(s)
Job description
This Systems Engineer IV position is to help establish and mature an enterprise-level systems engineering capability within our medical device organization. This role is responsible for defining, tailoring, deploying, and sustaining rigorous model-based systems engineering (MBSE) processes, methods, and tools across the product lifecycle.
The role is responsible for continuous process improvement...
Report this listing
Abbott Laboratories
Decision Support Tools Engineer
Abbott Laboratories • Alameda, CA, United States • via Abbott Jobs
11 hours ago
Full–time
Apply on Abbott Jobs
Apply on Indeed
Apply on IAPMO Career Center
Apply directly on ZipRecruiter
Apply on Glassdoor
Apply on LinkedIn
Apply on LocalJobs.com
Apply on Talent.com
Job highlights
Identified by Google from the original job post
Qualifications
Bachelor’s degree in engineering, Computer Science, Biomedical Engineering, or a related technical field
1–3 years of professional experience
Proficiency in Python for scripting, automation, and data manipulation (pandas, NumPy, or similar)
6 more items(s)
Benefits
Career development with an international company where you can grow the career you dream of
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
An excellent retirement savings plan with a high employer contribution
3 more items(s)
Responsibilities
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
6 more items(s)
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. You’ll also have access to:
• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical 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 bachelor’s 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 You’ll 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
• Bachelor’s degree in engineering, Computer Science, Biomedical Engineering, or a related technical field.
• 1–3 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 a regulated industry (medical devices, pharma, diagnostics) or awareness of design control / V&V concepts.
• Familiarity with Design of Experiments (DOE) methodologies or statistical experiment design.
• Exposure to continuous sensor data (CGM, wearables, or similar physiological signals).
• Experience building lightweight web apps or dashboards (Streamlit, Dash, Flask, Gradio) for internal stakeholders.
• Familiarity with CI/CD pipelines, task runners, or workflow orchestration (GitHub Actions, Makefiles, Airflow).
• Experience with prompt engineering and integrating LLM APIs into automated workflows.
💡 Quick Summary
Seeking a career-building opportunity? The Decision Support Tools Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Los Angeles offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
