Argonne National Laboratory
From Argonne National Laboratory’s careers page.
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:
Postdoctoral
Postdoctoral Appointee
Long-Term (Fixed Term)
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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