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Lemont, IL USA
Source: Argonne careers · View original posting
From Argonne's posting. “We” and “our” refer to the employer.
The Data Science Learning division is seeking a postdoctoral researcher to develop and apply artificial intelligence and computational biology methods to investigate the molecular and cellular effects of low-dose ionizing radiation. The position will contribute to the LUCID research program, a multi-institutional effort integrating experimental biology, machine learning, and mechanistic modeling to understand how human cells respond to low-dose and low-dose-rate radiation exposure.
The researcher will focus on analyzing and integrating large-scale cellular imaging, transcriptomic, and genomic datasets to identify radiation-induced cellular states, characterize dose- and time-dependent responses, and develop predictive models of cellular behavior. Particular emphasis will be placed on interpretable machine learning, multimodal representation learning, and the integration of experimental observations with biological mechanisms.
The position builds on established LUCID capabilities in longitudinal cellular imaging, RNA sequencing, and multimodal AI and will support the program's next phase of research in single-cell heterogeneity, radiation-induced adaptation, and long-term cellular fate.
Research responsibilities include:
Model evaluation and generalization: Assess model robustness, uncertainty, and predictive performance across independent experiments, cell types, and exposure conditions. Compare AI-based predictions with established statistical and mechanistic baselines.
Integration with experimental research: Collaborate with experimental biologists and computational scientists to formulate testable hypotheses, identify informative experimental measurements, and evaluate predictions against new experimental results.
Scientific communication and research software: Publish findings in peer-reviewed journals, present research at scientific meetings, contribute to collaborative proposals and technical reports, and develop reproducible computational workflows and research software.
Experience with machine learning, multimodal representation learning, and the integration of experimental observations with biological mechanisms.
Job Family
Postdoctoral
Job Profile
Postdoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full time
The expected hiring range for this position is $72,879.00-$121,465.00.
Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.
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As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
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Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
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