R&D Engineering Co-op Full Time Intern Jan-June 2027

irhythmtech; San Francisco (CA); On-site; USD 34,000 - 48,000; Full time

Job summary

iRhythm Technologies, Inc. is seeking an engineering student for a full-time, six-month Co-op in San Francisco to contribute to wearable biosensor research and prototype development.

You will participate in feasibility studies, sensor evaluations, and data analysis within a regulated health-tech environment. The role emphasizes rapid prototyping, hypothesis-driven experimentation, and collaboration with a multidisciplinary team to translate clinical needs into engineering evidence and tangible

Qualifications

• Familiar with physiological parameters and sensing
• Experience applying hypothesis-driven experimental design
• Strong math/physics foundations, basic stats
• Detail-oriented and meticulous with lab records
• Excellent written and verbal communication; self-motivated and able to work with minimal supervision

Responsibilities

• Support early-stage research and feasibility for wearable sensing solutions
• Conduct user studies and collect data from human subjects
• Develop and execute test protocols for prototypes
• Apply signal processing/analysis techniques using Python or R
• Engage in rapid prototyping with evaluation kits and basic SolidWorks models
• Operate lab equipment (multimeters, oscilloscopes, power supplies)
• Learn to evaluate clinical needs and use cases in healthcare
• Collaborate with a technical team to prototype electromechanical hardware
• Contribute to data-driven decisions and potential IP generation

Skills

Python

Data analysis

Lab notebook

Written communication

Independent worker

Education

Pursuing a PhD or MS in biomedical, mechanical, electrical engineering

Tools

Python

R

SolidWorks

Job description

About This Role

Join Product Development at the front end of innovation, where engineers explore promising technologies for future wearable biosensing solutions. You will contribute to feasibility studies, prototype development, sensor evaluation, structured experimentation, and data analysis. You will learn how clinical needs and engineering evidence shape product decisions while building experience working through ambiguity and communicating technical findings in a regulated environment.

In this role, you will contribute directly to early-stage engineering efforts to develop wearable bio-sensors, collaborating alongside a team of multi-disciplinary engineers. You will be treated as a regular member of the engineering team, inclusive of involvement in critical projects, expectation of high-quality deliverables, and accountability for the work you do.

Responsibilities & Opportunities

• Supporting early-stage research and scientific feasibility efforts to evaluate promising technologies for incorporation into wearable sensing solutions
• Conducting user studies to collect data from sensors on human subjects
• Developing and executing test protocols to characterize prototypes
• Identifying and applying various signal processing and analysis techniques to improve our understanding of data using Python or R
• Engaging in rapid prototyping activities, e.g., using evaluation kits and creating basic 3D models in SolidWorks
• Working with lab equipment like multi-meters, oscilloscopes, power supplies, etc.
• Gaining exposure to the healthcare environment, particularly evaluation of clinical needs and use cases
• Working alongside a technical team to rapidly prototype electromechanical hardware platforms or fixtures
• Learning to be creative, flexible, and agile during research and early development stages at a medical device company
• Contributing to generation of intellectual property

Assignment Details

This is a full-time, six-month Engineering Internship / Cooperative Education (Co-op) assignment for a current student. It offers internship-style learning, mentorship, and meaningful project work, but it is not a traditional summer internship. Candidates must be available for the full January through June 2027 assignment in San Francisco.

Full-time | January through June 2027 | San Francisco, California | $35.00 per hour

Location: San Francisco

Actual compensation may vary depending on job-related factors including knowledge, skills, experience, and work location.

Estimated Pay Range $25.00 - $35.00

Benefits

• Housing assistance or a housing stipend is not provided. Candidates are responsible for arranging and funding their own housing during the assignment.

Desired Qualifications

• Pursuing a PhD or Master's degree in biomedical, mechanical, electrical, or a similar engineering discipline
• Familiarity with physiological parameters and sensing (e.g. ECG, pulse oximetry, respiratory flow/effort)
• Practical application of hypothesis-driven experimental design
• Strong foundation in math and physics, with an understanding of basic statistical principles
• Detail-oriented and diligent about maintaining a lab notebook
• Strong written and verbal communication skills, and a positive attitude
• Comfortable working with minimal supervision

About You

We are looking for an enthusiastic biomedical, mechanical, or electrical engineering student who is interested in cutting edge research in the medical device space. You should be excited about working on early-stage projects, be a quick learner, and enjoy working with a highly multidisciplinary team. You recognize the need for thoughtful, data-driven decision-making, and have strong prototyping and debugging skills to support technical feasibility studies. You have excellent engineering fundamentals, love to solve problems, and are resourceful.

As a part of our core values, we ensure an inclusive workforce. We welcome and celebrate people of all backgrounds, experiences, skills, and perspectives. iRhythm Technologies, Inc. is an Equal Opportunity Employer. We will consider for employment all qualified applicants with arrest and conviction records in accordance with all applicable laws.

iRhythm provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including those who may have any difficulty us