Software Developer / Data Scientist

Argonne National Laboratory•Lemont, IL

About The Position

The eBERlight group at the X-ray Science Division (XSD) of the Advanced Photon Source (APS) at Argonne National Laboratory (ANL) is seeking a software developer/data scientist with expertise in artificial intelligence (AI) to advance biological and environmental research. This role will focus on developing AI-driven software tools and applications for synchrotron data collection, processing, and integration across multiple modalities, including X-ray crystallography, X-ray computed tomography, X-ray fluorescence microscopy, X-ray absorption spectroscopy, and ptychography. The successful candidate will contribute to the development of advanced algorithms, machine learning models, and AI frameworks to enhance data analysis, automate workflows, and enable multimodal data integration. Responsibilities will include : 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. Position Requirements 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. Preferred Knowledge, Skills, and Experience 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. This position can be hired at one of two levels; the selected candidate will be placed at the appropriate level ( RD2 or RD3 ) dependent upon the depth and breadth of relevant knowledge and skills. The minimum requirements of the two levels are as follows: RD2 (Assistant Software Developer/Data Scientist) : Bachelors and 5+ years’ experience, Masters and 3+ years’ experience, PhD and 0+ years’ experience, or equivalent. The expected pay range for this position is $94,486 - $147,399. RD3 (Software Developer/Data Scientist) : Bachelors and 8+ years’ experience, Masters and 5+ years’ experience, PhD and 4+ years’ experience, or equivalent. The expected pay range for this position is $116,250 - $181,350.

Requirements

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

Nice To Haves

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

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