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# Part-Time Programmer Analysts

- **Company:** Pennsylvania State University
- **Location:** State College, PA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Computer Engineering, Data Governance, Github, Graph Database, Python (Programming Language), Machine Learning, Neo4j, Open Access, Random Forest, Scikit Learn, Restful APIs
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/86761946/1

## About the Role

The Department of Computer Science and Engineering is seeking part-time Programmer Analysts to support an NIH National Center for Advancing Translational Science-funded project called: "The Biomedical Data Translator."https://ncats.nih.gov/research/research-activities/translator, * Excellent interpersonal and communication skills

 * Strong attention to detail
 * Master's degree plus two years of related experience, or an equivalent combination of education and experience
 * Specific skills required are experience with the Neo4j graph database, interacting with REST APIs, more than three years' experience with Python, and associated machine learning packages (such as Scikit learn)
 * More than three years' experience with Git and GitHub
 * Ability to effectively work remotely with a large team of programmers and scientists
 * Two years' or more experience working with biomedical ontologies/data sets and publicly available databases

Pay and hours per week negotiable within funder restrictions.Please include a cover letter and resume.

BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.

## Description

These programmers will develop the following components to be incorporated into the ARAX (https://github.com/RTXteam/RTX) system: Implement statistical and machine learning techniques to augment graph edge properties in ARAX; Create modular python wrappers to interface with NCATS (National Center for Advancing Translational Services) translator API (Application Programming Interface) endpoints (https://smart-api.info/registry) and UI (https://ui.transltr.io/) to allow ingestion of open access data into (and from) the ARAX system; Implement automated thresholding of ARAX filtering components; Create a modular, tunable weighting scheme for scoring and ranking of results to be returned by the ARAX system; Train a graph node embedding + random forest model on open access clinical and biomedical data to extend current capabilities for predicting the probability that a drug treats a disease; Maintain the ARAX code base to retain compliance with API and data standardization version updates as
specified by the advisory, API, and data modeling committees; Address additional ARAX code-base issues as they are identified and assigned by faculty member.