Abbott

Decision Support Tools Engineer

Abbott • $90K — $180K *
Alameda, CA 94501In-Person
Healthcare
Less than 5 years of experience
Reposted 2 weeks ago
Job Overview by Ladders

Qualifications

  • Bachelor's degree in engineering, Computer Science, Biomedical Engineering, or related technical field.
  • 1-3 years of professional experience.
  • Proficient in Python for scripting, automation, and data manipulation.
  • Experience in building data visualizations using tools like Matplotlib or Plotly.
  • Familiar with version control such as Git/GitHub.
  • Hands-on experience with generative AI tools integrated into development workflows.
  • Strong problem-solving skills with the ability to independently develop small tools.

Responsibilities

  • Develop and maintain automation scripts and pipelines for decision support algorithms.
  • Build interactive visualization tools for algorithm performance analysis and clinical feasibility review.
  • Design and implement Design of Experiments matrices to evaluate algorithms.
  • Leverage AI tools to rapidly prototype and scale internal tooling.
  • Create reusable toolkits for algorithm developers to streamline analyses and reporting.
  • Support workflows to transform raw sensor data into structured inputs for evaluation.
  • Collaborate with cross-functional teams to identify and deliver tooling solutions.
  • Document workflows and procedures to ensure reproducibility and scalability.

Benefits

  • Opportunity to work in an innovative environment within a Fortune 500 company.
  • Support for a culture that combines entrepreneurial spirit with established corporate backing.
  • Involvement in developing breakthrough wearable technologies for health insights.
  • Chance to collaborate with a talented, cross-functional team.
  • Assessment of personal and professional development opportunities in a growing sector.
Full Job Description
JOB DESCRIPTION:

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.
  • Exposure to cloud or sandbox environments for 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
$90,000.00 - $180,000.00
In specific locations, the pay range may vary from the range posted.

JOB FAMILY:
Product Development

DIVISION:
ADC Diabetes Care

LOCATION:
United States > Alameda : 2901 Harbor Bay Parkway

ADDITIONAL LOCATIONS:

WORK SHIFT:
Standard

TRAVEL:
No

MEDICAL SURVEILLANCE:
No

SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

About Abbott

Abbott Careers

Joining Abbott means becoming part of a globally diverse team dedicated to making a lasting impact on human health. As a leader in healthcare innovation, Abbott provides a dynamic workplace where careers flourish through growth, leadership, and diversity training.

Opportunities at Abbott

Explore a world of opportunities with our team. Whether you're seeking job opportunities in engineering, marketing, research, or healthcare, Abbott offers a variety of positions that allow professionals to grow their careers. Our commitment to diversity and innovation is evident in every aspect of our work, fostering an inclusive culture that values each team member's contribution.

Work You'll Do

At Abbott, every role contributes to our mission of helping people live fuller lives through better health. From groundbreaking research in medical devices to advancements in pharmaceuticals, our team is at the forefront of healthcare innovation. By joining Abbott, you are not just accepting a job; you are embarking on a path of professional and personal growth.

Internship Programs

Kickstart your career with an Abbott internship. Our programs provide invaluable industry experience and a chance to develop essential skills in a real-world setting. Interns at Abbott work on projects that matter, gaining the experience and knowledge necessary to succeed in their future careers.

Professional Development

Abbott is dedicated to the continuous professional development of its employees. With access to cutting-edge technology, leadership programs, and diversity training, our team members are equipped to lead and innovate within the healthcare industry. We support your career journey with robust training programs, mentorship, and opportunities for networking and professional growth.

Benefits and Culture

Our employees enjoy comprehensive benefits designed to support their life and well-being. From health insurance to retirement plans, we ensure our team has everything they need to thrive. Abbott's culture is built on a foundation of respect and integrity, united by a shared commitment to improving health outcomes.

Join Our Team

Discover the impact you can make with a career at Abbott. We are hiring individuals who are passionate, curious, and driven to lead. Search open positions that match your skills and interests on our Jobs page. Prepare your resume, sharpen your interview skills, and get ready to join a team that's at the cutting edge of healthcare solutions.

Stay Connected

Keep up to date with career tips, industry insights, and company news—all from the people who work here. Subscribe to our Careers Blog and personalize your subscription to receive job alerts and insider tips tailored to your preferences.

Explore Abbott

With a commitment to improving life through innovation, leadership, and diversity, Abbott is a place where you can fulfill your potential. See what exciting and rewarding opportunities await at Abbott by exploring our career opportunities today.

SEARCH ABBOTT JOBS

Join us in our mission to make the world a healthier place through innovation, leadership, and diversity. Your journey to a fulfilling career at Abbott starts here.
Learn more about Abbott
Size
113,000 employees
Market Cap
$189 billion
Industry
Healthcare
Net Income
$4.4 billion
Founded
1944
5 Year Trend
+15.6%
Revenue
$34.6 billion
NASDAQ
ABT
* Ladders Estimates

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