Part-time Programmer Analysts

Bordenstein Lab

University Park, PA, US
Pyy negotiable within funder restrictions; not spe...
Hybrid
Neo4j graph database experience
Rest api interaction skills
Python programming expertise
The role involves developing statistical and machine learning techniques to augment graph edge properties in the ARAX system

Job Summary

  • The role involves developing statistical and machine learning techniques to augment graph edge properties in the ARAX system.
  • Candidates must create modular Python wrappers to interface with NCATS translator API endpoints and UI for data ingestion.
  • The position requires training a graph node embedding plus random forest model on open access clinical and biomedical data.

Matching Summary

The role involves developing statistical and machine learning techniques to augment graph edge properties in the ARAX system.

Salary

Pay negotiable within funder restrictions; Not specified; Not specified

Skills & Requirements

Must-have

  • Neo4j graph database experience
  • REST API interaction skills
  • Python programming expertise
  • Scikit-learn machine learning packages
  • Git and GitHub version control

Nice-to-have

  • Biomedical ontology knowledge
  • Remote team collaboration skills
  • Strong interpersonal communication
  • Attention to detail in code maintenance

Key Requirements

  • Master's degree plus two years of related experience
  • More than three years' experience with Python
  • More than three years' experience with Git and GitHub
  • Two years or more experience working with biomedical ontologies

Work Rights

Not specified

Tailored Resume

Cover Letter