Argonne National Laboratory · 12 hours ago
Software Developer / Data Scientist
Lemont, IL
Full-time
Onsite
Mid, Senior Level
$94K/yr - $147K/yr
3+ years expArgonne National Laboratory is seeking a software developer/data scientist with expertise in artificial intelligence to advance biological and environmental research. The role focuses on developing AI-driven software tools and applications for synchrotron data collection, processing, and integration across multiple modalities, while also contributing to the development of advanced algorithms and machine learning models.
EnergySecuritySocial Impact
No H1B
U.S. Citizen Only
Responsibilities
Designing and implementing AI solutions for image processing (e.g., segmentation, feature extraction)
Developing predictive models
Collaborating with researchers to optimize data pipelines
Additional tasks may involve creating user-friendly interfaces and tools to facilitate data management and visualization
May be required to perform other duties as assigned
Qualification
Required
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 (e.g., segmentation, feature extraction, classification)
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 skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
Bachelors and 5+ years' experience, Masters and 3+ years' experience, PhD and 0+ years' experience, or equivalent for RD2 level
Bachelors and 8+ years' experience, Masters and 5+ years' experience, PhD and 4+ years' experience, or equivalent for RD3 level
Preferred
Familiarity with synchrotron-based techniques such as macromolecular crystallography, X-ray computed tomography, X-ray fluorescence microscopy, X-ray absorption spectroscopy, or ptychography
Experience with large-scale image datasets and High-Performance Computing (HPC) resources
Knowledge of databases and Laboratory Information Management Systems (LIMS), including SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB)
Background in biological or environmental sciences to enhance the application of AI in these domains
Experience with multimodal data integration and advanced data visualization techniques
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
Leadership Team
Paul Kearns
Laboratory Director
Venkat Srinivasan
Director, Argonne Center for Collaborative Energy Storage Science (ACCESS)
Recent News
2026-01-25
Inside HPC & AI News | High-Performance Computing & Artificial Intelligence
2026-01-17
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