Part-time Assistant Programmer

Penn State Golf Courses

University Park, Pennsylvania, United States
$57ph; 20 hours/week; 50 weeks
**
Python 3.x
Nlp/ml (pytorch or tensorflow)
Hugging face, scikit-learn
** Penn State Golf Courses is seeking a part-time Assistant Programmer to help develop a system that converts peer-reviewed nutrition literature into evidence-based recommendations. This role involves working with NLP/ML technologies, building ETL pipelines, and creating a knowledge graph to support recommendations. **

Job Summary

  • Implement the Extract, Transform Load (ETL) pipeline from OpenAlex, fine-tune and wire up transformer models for relation extraction, and ship a production-grade recommendation/generative layer backed by a provenance-rich knowledge graph.
  • Stand up and own a PubMed or OpenAlex ETL that ingests open-access articles, normalizes metadata, and keeps our corpus fresh.
  • Collaborate tightly with PI and domain scientists; deliver milestones on a fast, 12-month pilot timeline.

Matching Summary

Match Score: 75

** Penn State Golf Courses is seeking a part-time Assistant Programmer to help develop a system that converts peer-reviewed nutrition literature into evidence-based recommendations. This role involves working with NLP/ML technologies, building ETL pipelines, and creating a knowledge graph to support recommendations. **

Salary

$57/hour; 20 hours/week; 50 weeks

Skills & Requirements

Must-have

  • Python 3.x
  • NLP/ML (PyTorch or TensorFlow)
  • Hugging Face, scikit-learn
  • data/ETL tooling (pandas, spaCy)
  • APIs/services (RESTful design, auth)
  • Postgres + vector/embedding store

Nice-to-have

  • Deep NLP experience
  • Semantic KGs (RDF/OWL)
  • Biolink Model
  • biomedical text corpora mining
  • research-to-prod systems

Key Requirements

  • 3+ years professional Python and ML/NLP engineering
  • Strong engineering hygiene (tests, docs, code review)
  • Clear, direct communication in a remote team

Work Rights

Not specified

Tailored Resume

Cover Letter