Argonne

Argonne

Full Stack Materials Database Programmer for ML/AI Integration

Lemont, IL USA · Contract

Sponsorship not specified$70k-$109kDetected 22 days ago
PythonC#ReactNext.jsDjangoFastAPIFlask.NETBackend DevelopmentFull-Stack DevelopmentNoSQLPostgreSQLMySQLMongoDBDockerKubernetesDevOpsOAuthMachine LearningAirflowData EngineeringData ScienceResearchCommunication

About the role

  • Joining a dynamic, collaborative team working across Q-NEXT, Penn.
  • may also include supporting application components, APIs, dashboards, and data processing workflows using established software development practices.
  • Job Family Professional Technical (PT) Job Profile Applications Development 2 Worker Type Regular Time Type Full time The expected hiring range for this position is $69,750.00 - $108,810.00.

Requirements

  • Required knowledge, skills and experience:
  • Data Integration: Experience supporting automated data pipelines, streaming data ingestion and interfacing code with experimental hardware or instrumentation control systems.
  • ability to work effectively within an interdisciplinary team of physicists, materials scientists, and automation engineers.
  • Data Science & Analytics: Experience with data curation and version control via Git.
  • Infrastructure & DevOps: Experience with containerization (Docker, Kubernetes) and deploying applications within enterprise or cloud-based scientific computing environments.
  • occasional travel and some overtime may be required.
  • Ability to work independently on assigned tasks under general supervision.
  • Ability to model Argonne's core values of impact, safety, respect, integrity and teamwork.
  • Experience with backend development in C#,.NET, or Python (FastAPI, Flask, or Django), and familiarity with frontend technologies such as React or Next.js to support internal data dashboards and visualization tools.
  • Experience with data curation and version control via Git.

Skills

  • Familiarity with machine learning loops or active learning frameworks.
  • Familiarity with orchestration tools (e.g., Airflow, Prefect) for managing scientific data workflows.
  • Position Requirements
  • Experience working on scientifically focused materials databases (e.g. LiST) strongly valued.

Compensation

  • Please note that the pay range information is a general guideline only.
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