About the Role
We are hiring an R&D Co-op to support data analysis, validation, and internal tooling across our sensor and analytics platform. This is a hands-on role for someone who is comfortable working with messy real-world data, experimenting quickly, and helping turn raw signals into usable technical insight.
What you’ll do
Analyze sensor and experimental data from testing and deployments
Support data labeling, validation, and quality assurance workflows
Build scripts and lightweight tools for processing, visualization, and analysis
Help evaluate detection performance and summarize findings
Organize datasets and maintain clear technical records
Work across product, engineering, and R&D projects as needed
What we’re looking for
Currently pursuing a degree in engineering, computer science, physics, or a related field
Comfortable with Python and technical problem solving
Strong attention to detail and willingness to work on validation-heavy tasks
Able to communicate clearly and document work well
Interested in sensors, industrial systems, analytics, or condition monitoring
Comfortable with ambiguity and moving quickly in a startup environment
Nice to have
Experience with time-series data, statistics, signal analysis, or anomaly detection
Familiarity with Git, Jupyter, SQL, dashboards, or data visualization tools
Exposure to industrial systems, NDT, or asset monitoring
Why join
You will work closely with the founding team on real technical problems spanning sensors, analytics, validation, and product development. 20-28/hr you will hear back from us by the 23rd if you have received an interview
About the Company
Helix is building continuous material integrity monitoring systems for critical industrial assets. We combine sensing, analytics, and engineering workflows to help operators detect degradation earlier and make better maintenance decisions.