Part-time Assistant Programmer

Penn State University

University Park, Pennsylvania, United States
Hourly: $57; hours: 20 hours/week; duration: 50 we...
Hybrid
Python 3.x programming
Nlp/ml engineering with pytorch or tensorflow
Etl pipeline development using airflow or prefect
Penn State University is seeking a part-time Assistant Programmer to develop a system that converts peer-reviewed nutrition literature into evidence-based recommendations. The role involves implementing ETL processes, fine-tuning NLP models, and constructing a knowledge graph, with a focus on collaboration and delivering results within a 12-month pilot timeline

Job Summary

  • The role involves building a production-grade system that transforms peer-reviewed nutrition literature into evidence-based recommendations.
  • Candidates will be responsible for implementing ETL pipelines from OpenAlex and fine-tuning transformer models to extract semantic triples.
  • This is a fully remote part-time position offering $57/hour for 20 hours per week over a 50-week period.

Matching Summary

Match Score: 85

Penn State University is seeking a part-time Assistant Programmer to develop a system that converts peer-reviewed nutrition literature into evidence-based recommendations. The role involves implementing ETL processes, fine-tuning NLP models, and constructing a knowledge graph, with a focus on collaboration and delivering results within a 12-month pilot timeline.

Salary

Hourly: $57; Hours: 20 hours/week; Duration: 50 weeks

Skills & Requirements

Must-have

  • Python 3.x programming
  • NLP/ML engineering with PyTorch or TensorFlow
  • ETL pipeline development using Airflow or Prefect
  • Transformer model fine-tuning experience
  • RESTful API design and implementation
  • PostgreSQL and vector embedding store usage

Nice-to-have

  • Deep NLP experience in relation extraction
  • Knowledge graph construction with Neo4j
  • Biomedical text corpus mining
  • Biolink Model ontology work
  • Prompt or adapter tuning expertise

Key Requirements

  • 3+ years professional Python and ML/NLP engineering experience
  • Strong engineering hygiene including tests, docs, and code review
  • Clear communication skills for remote team collaboration

Work Rights

Not specified

Tailored Resume

Cover Letter