Job Information
Pennsylvania State University Part-Time CSE Programmers in University Park, Pennsylvania
APPLICATION INSTRUCTIONS:
CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/EfiwgKReZ4VAjprFZPKWUm0Bq_sU3KzTmERfpryq0esPKQ) . Please do not apply here, apply internally through Workday.
CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. (https://pennstateoffice365.sharepoint.com/:b:/s/KnowledgeBaseArticlesSharing/Eeys15Xva4hFokHVtbP1eGIB5i1WFLc-J3k9KHgrFYZ7mg) Please do not apply here, apply internally through Workday.
If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants (https://hr.psu.edu/sites/hr/files/Application_Process_for_External_Applications_Non-Penn_State_Employees_.pdf) .
JOB DESCRIPTION AND POSITION REQUIREMENTS:
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.”
These programmers will develop the following components to be incorporated into the ARAX system: Implement statistical and machine learning techniques to augment graph edge properties in ARAX; Create modular python wrappers to interface with NCATS translator API endpoints to allow ingestion of open access data into 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.
Excellent interpersonal and communication skills, strong attention to detail, and requires a master’s degree or higher 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, experience with Python and associated machine learning packages (such as Scikit learn). More than three year’s experience with Git and GitHub, ability to effectively work remotely with a large team of programmers and scientists, more than two year’s experience working with biomedical ontologies and publicly available databases. Pay and hours per week negotiable within funder restrictions. Please include a cover letter and resume.
The Pennsylvania State University is committed to and accountable for advancing diversity, equity, inclusion, and sustainability in all of its forms. We embrace individual uniqueness, foster a culture of inclusion that supports both broad and specific diversity initiatives, leverage the educational and institutional benefits of diversity in society and nature, and engage all individuals to help them thrive. We value inclusion as a core strength and an essential element of our public service mission.
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Employment with the University will require successful completion of background check(s) in accordance with University policies.
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