Argonne National Laboratory · 1 week ago
Predoctoral Appointee - Engineer Research Associate
Lemont, IL USA
Full-time
Onsite
New Grad
$58K/yr - $97K/yrArgonne National Laboratory is seeking a Predoctoral Appointee to support research and development efforts in the Vehicle and Mobility Systems department. The role focuses on transforming complex datasets into actionable insights and requires collaboration with multidisciplinary research teams to support data-driven systems and analytical workflows.
EnergySecuritySocial Impact
No H1B
U.S. Citizen Only
Responsibilities
Designing and implementing end-to-end ETL and data processing pipelines to collect, ingest, clean, transform, store, and query large-scale datasets from diverse sources
Developing and maintaining data engineering workflows using Python
Building, training, tuning, and evaluating machine learning models for regression, classification, clustering, and anomaly detection tasks
Integrating structured, semi-structured, and unstructured data into unified analytical datasets
Collaborating with researchers to deploy data products
Creating visualizations, dashboards, or analytical reports to communicate insights and model results to technical and non-technical stakeholders
Supporting data quality assessment, exploratory data analysis, and model interpretability efforts
Qualification
Required
Recent or soon-to-be completed Master's degree in Computer Science, Data Science, Data Analytics, Software Engineering, Data Engineering, Machine Learning, Applied Statistics
Background in data science, computer science, engineering, statistics, applied mathematics, or a related field
Demonstrated experience applying data science and machine learning techniques to real-world or research-driven problems
Analytical and problem-solving skills, with the ability to translate research questions into data-driven solutions
Ability to work collaboratively in a research environment and communicate technical concepts effectively
Proficiency in Python for data analysis, data engineering, and machine learning
Experience developing and maintaining data pipelines using workflow orchestration or scheduling tools
SQL skills and experience working with relational databases, familiarity with NoSQL or document-based databases
Experience with large-scale data processing frameworks
Experience integrating data from multiple and heterogeneous sources
Experience applying machine learning techniques, including supervised and unsupervised learning, model evaluation, and hyperparameter tuning
Experience with software development best practices, including version control, testing, documentation, and code review
Experience with data visualization tools or libraries
A successful candidate must have the ability to model Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork
This position requires an on-site presence at the Argonne campus in Lemont, Illinois
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Founded in 1946
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
Raeanna Sharp- Geiger
COO
Paul Kearns
Laboratory Director
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