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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 a desire to make a difference in people's lives meets a passion for algorithm development and data science. The Algorithms team is at the very heart of what we do at Dexcom. Join us if building models, developing signal processing approaches, and transforming emerging sensing technologies into impactful healthcare solutions excites you.
As a Senior Algorithm Engineer, you will play a key role in developing advanced sensing algorithms that power next-generation continuous glucose monitoring and health sensing technologies.
Where you come in:
Lead development of advanced algorithms supporting next-generation glucose sensing technologies.
Develop physics-based, mechanistic, and data-driven models to characterize sensor behavior and improve measurement performance.
Design and implement signal processing, estimation, calibration, detection, and predictive algorithms.
Apply statistical modeling, machine learning, and data analytics techniques to extract insights from bench, preclinical, clinical, and real-world datasets.
Drive clinical performance assessments and algorithm maturation in collaboration with sensor, systems, hardware, firmware, clinical, and product teams.
Evaluate algorithm performance through simulation, modeling, and experimental analysis.
Provide technical insights on algorithm architecture, design tradeoffs, verification strategies, and implementation approaches.
Identify opportunities to optimize overall system performance and resource utilization.
Facilitate algorithm design transfer activities with firmware, verification, and validation teams.
What makes you successful:
PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or a related field with 2 years of industry experience; or a Master's degree in a related field with 2-5 years of relevant experience.
Expert-level proficiency in Python, MATLAB, C/C++, or similar technical computing environments.
Deep expertise in statistical estimation, signal processing, optimization, and mathematical modeling.
Strong understanding of machine learning techniques and practical model development.
Demonstrated experience developing algorithms for sensing technologies, measurement systems, medical devices, or related disciplines.
Experience analyzing large and complex datasets with multiple signals and dependencies.
Excellent written, verbal, and presentation communication skills.
Ability to thrive in ambiguous, fast-paced technical environments.
Preferred:
Experience with biosensors, physiological sensing, wearable systems, or analytical instrumentation.
Experience with calibration, estimation, filtering, or measurement system algorithms.
Experience transitioning algorithms from research into commercial products.
Experience applying strong software engineering practices in data-driven application development.
Knowledge of design controls, verification and validation processes, and product development lifecycles.
Publication, patent, or demonstrated record of innovation.
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 5-8 years related experience or Master’s degree and 2-5 years equivalent industry experience or a PhD and 0-2 years 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.