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Closed listing

DexCom Inc

Senior Staff Algorithm Engineer - Emerging Sensing Technologies

Remote, United States

$164,200.00 - $273,600.00 #DexcomUS

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $164,200.00 - $273,600.00 #DexcomUS
Closing date: Nov 5, 2026
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

The Company Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.

We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.

Meet the team:

This is where curiosity, scientific rigor, and innovation come together to shape the future of biosensing. The Algorithms team, as well as our Sr Staff Algorithm Engineer, will play a critical role in evaluating novel sensing concepts, developing modeling frameworks, and identifying technologies that may power future generations of health insights.

Where you come in:

Lead algorithm, modeling, and simulation activities supporting emerging sensing technologies.
Develop first-principles, mechanistic, statistical, and machine-learning models to understand complex biological and sensing phenomena.
Design experiments and analytical approaches to evaluate technology feasibility and performance limits.
Partner with multidisciplinary teams to identify key technical opportunities and risks for novel sensing approaches.
Create simulation environments and predictive models to guide technology investment decisions and development strategies.
Apply advanced analytics and machine learning methods to uncover patterns and insights from experimental data.
Explore novel sensing concepts and measurement methodologies across a variety of biological and physical domains.
Influence long-term technology roadmaps through scientific rigor and technical leadership.
Communicate findings and recommendations to technical experts, business stakeholders, and senior leadership.

What makes you successful:

PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Biophysics, Quantitative Biology, Computer Science, Statistics, or related discipline with 5-7 years industry experience; or MS with 8-12 years relevant experience.
Strong foundation in mathematical modeling, simulation, statistics, and machine learning.
Expertise in Python, MATLAB, or similar technical computing environments.
Demonstrated experience developing first-principles and predictive models of complex systems.
Ability to independently define technical problems, formulate hypotheses, design analyses, and derive actionable conclusions.
Strong scientific curiosity and willingness to explore unfamiliar technical domains.
Experience working in research, advanced development, or technology incubation environments.
Ability to make progress despite incomplete information and evolving requirements.
Excellent communication skills and ability to explain highly technical concepts to diverse audiences.

Preferred:

Experience in biosensing, biophysics, physiology, electrochemistry, analytical chemistry, or related fields.
Experience developing digital twins, simulation frameworks, physics-informed machine learning models, or computational models.
Experience evaluating technical feasibility and technology readiness.
Prior experience supporting innovation programs, exploratory research, or platform technology development.
Publications, patents, or other evidence of scientific leadership.
Experience within regulated industries.

What you’ll get:

A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
A full and comprehensive benefits program.
Growth opportunities on a global scale.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

Travel Required:

0-5%

Education and Experience:

Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 13+ years related experience or a Master’s degree and 8+ years equivalent industry experience or a PhD and 5+ years of experience.

Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about our Flex workplace option.

Please note: The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor are they intended to be an all-inclusive list of the skills and abilities required to do the job. Management may, at its discretion, assign or reassign duties and responsibilities to this job at any time. The duties and responsibilities in this job description may be subject to change at any time due to reasonable accommodation or other reasons. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Dexcom’s AAP may be viewed upon request by contacting Talent Acquisition at talentacquisition@dexcom.com.

If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact Dexcom Talent Acquisition at talentacquisition@dexcom.com.

Meritain, an Aetna Company, creates and publishes the Machine-Readable Files on behalf of Dexcom. To link to the Machine-Readable Files, please click on the URL provided: https://health1.meritain.com/app/public/#/one/insurerCode=MERITAIN_I&brandCode=MERITAINOVER/machine-readable-transparency-in-coverage?reportingEntityType=TPA_19874&lock=true

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.

AI in Hiring Notice: We may use AI supported tools to help make our hiring process more efficient, consistent, and accessible for candidates around the world. All hiring decisions are made by people.

Salary:

$164,200.00 - $273,600.00 #DexcomUS

About employer

More about this job

Skills

Leadership
Biomedical engineering
Electrical engineering
Computer science
Statistics
Python
The MathWorks MATLAB
Research
Communication skills
Analytical chemistry
Machine learning
Microsoft Access
Recruitment

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