Join Argonne National Laboratory’s multidisciplinary biomedical data science team to contribute to cutting-edge research at the intersection of artificial intelligence, predictive health modeling, and translational biomedical analytics. This predoctoral appointment offers an opportunity to work on large-scale validation of advanced predictive models derived from harmonized longitudinal human datasets, with applications in long-term health outcome prediction and proactive healthcare decision support. The selected candidate will help evaluate scientific rigor, reproducibility, robustness, and generalizability of computational models in a collaborative environment that integrates data science, biostatistics, and biomedical research.
Core Responsibilities:
- Support reproducibility studies of predictive machine learning models by independently executing analytical pipelines on harmonized datasets and verifying reported performance metrics.
- Conduct external validation of predictive models using independent datasets to assess model generalizability across populations and settings.
- Develop and maintain reproducible computational workflows for secure execution of data pipelines and model benchmarking.
- Perform preprocessing, normalization, feature harmonization, and quality control on large longitudinal biomedical datasets.
- Conduct sensitivity analyses to evaluate model robustness under input perturbations, parameter variation, and missing-data scenarios.
- Assess potential bias introduced by data imputation and harmonization methods in long-horizon predictive modeling.
- Generate statistical analyses, benchmarking summaries, visualizations, and technical documentation for internal and external reporting.
- Collaborate with interdisciplinary teams including computational scientists, statisticians, software engineers, and domain researchers to improve model validation methodologies.
Learning Opportunities:
- Gain hands-on experience in independent validation of AI models for biomedical and health-related applications.
- Contribute to development of scalable methods for trustworthy and reproducible translational data science.
- Publish and present findings in scientific venues related to biomedical AI, health data science, and computational modeling.
Position Requirements
- Completed Master’s degree in computer science, biomedical engineering, applied mathematics, statistics, computational biology, or a related quantitative field.
- Demonstrated experience in programming, with proficiency in Python and familiarity with numerical or scientific computing libraries (e.g., NumPy, PyTorch, TensorFlow).
- Strong aptitude for developing and evaluating machine learning models, including hands-on experience implementing algorithms for classification, regression, or representation learning.
- Ability to analyze complex datasets, design computational experiments, and interpret model performance in a scientifically rigorous manner.
- Excellent written and verbal communication skills, with the ability to work effectively in interdisciplinary research teams.
- Experience with healthcare or life sciences data standards such as OMOP, FHIR, CDISC, or related frameworks.
- Familiarity with reproducible ML pipelines, workflow orchestration, or containerized computational environments.
- Experience in survival analysis, longitudinal modeling, or multimodal health data integration.
- Prior work involving model validation, benchmarking, or scientific software testing.
- Ability to model Argonne's core values of impact, safety, integrity, safety and teamwork.
Job Family
Temporary
Job Profile
Predoctoral Appointee
Worker Type
Long-Term (Fixed Term)
Time Type
Full timeThe expected hiring range for this position is $58,297.00-$97,161.00.
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.
Click here to view Argonne employee benefits!
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.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
