Software Developer / Data Scientist
Argonne National Laboratory
Location
Remote
Type
Full-time
Posted
Jan 29, 2026
Compensation
USD 94486 – 147399
Mission
What you will drive
Core responsibilities:
- Designing and implementing AI solutions for image processing (e.g., segmentation, feature extraction)
- Developing predictive models
- Collaborating with researchers to optimize data pipelines
- Creating user-friendly interfaces and tools to facilitate data management and visualization
Impact
The difference you'll make
This role advances biological and environmental research by developing AI-driven software tools for synchrotron data collection, processing, and integration, enabling enhanced data analysis, automated workflows, and multimodal data integration.
Profile
What makes you a great fit
Required qualifications:
- Proficiency in multiple programming languages, such as Python, C, C++, Java, etc.
- Demonstrated experience in developing and implementing machine learning/AI techniques for image data processing
- Strong knowledge of Linux operating systems
- Proven analytical skills and ability to solve complex problems using AI-driven approaches
- Capacity to lead software development projects and drive innovation in AI applications
- Interpersonal and communication skills to interact with people at all levels
- Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
Benefits
What's in it for you
Comprehensive benefits are part of the total rewards package. The expected hiring range for this position is $94,486.00 - $147,398.94 annually, with potential for higher compensation at the RD3 level ($116,250 - $181,350). Argonne offers a safe and welcoming workplace that fosters collaborative scientific discovery and innovation, with equal employment opportunity and commitment to nondiscrimination.
About
Inside Argonne National Laboratory
Argonne National Laboratory is a U.S. Department of Energy multidisciplinary science and engineering research center that works to address national challenges in clean energy, environment, technology, and national security through collaborative scientific discovery and innovation.