About this role
Helion is seeking a full-time Senior Applied Plasma Data Scientist to join their science team based in Everett, Washington. This on-site role suits experienced professionals eager to develop synthetic diagnostic models and machine-learning frameworks that advance clean fusion energy development.
Role Overview
The Senior Applied Plasma Data Scientist will specialize in synthetic diagnostics to enhance the measurement, interpretation, and modeling of field-reversed configuration plasma behavior. Reporting to the Experimental Science Manager at the Everett, WA facility, this position involves creating and validating synthetic diagnostic models linking experimental signals with simulation outputs to boost diagnostic accuracy and performance interpretation. During the first year, the professional will integrate these models with experimental and simulation data pipelines to facilitate quicker and more reliable experimental analysis.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Helion is a fusion power company founded in 2013 and located in Everett, WA, with the mission of building the world's first fusion power plant to enable a future of unlimited clean electricity. The organization has raised $1.5 billion from investors including Sam Altman, Mithril, Capricorn Investment Group, Thrive Capital, LightSpeed Venture Capital, and SoftBank. The current prototype, Polaris, has achieved record-breaking plasma temperatures, driving momentum toward the Orion fusion power plant.
How to Apply
Interested candidates should visit the official Helion careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is this job located?
This full-time position is located on-site at the Helion office in Everett, WA.
What is the salary range for this role?
The annual salary for the Senior Applied Plasma Data Scientist ranges from $210,000 to $250,000 USD.
What are the core educational requirements?
Applicants must hold a PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or a related field with an emphasis on physics-grounded modeling.
How many years of experience are required?
Candidates must have 3 or more years of industry or research-lab experience applying machine learning in experimental, simulation-driven, or scientific R&D environments.
What benefits are included in the compensation package?
Benefits include medical, dental, and vision plans, 31 days of PTO, 10 paid holidays plus a winter break, up to a 5% 401(k) match, disability and life insurance, up to 16 weeks of paid parental leave, and an annual wellness stipend.
