JOB REQUIREMENTS: Position Description: Purpose To carry out, under supervision, software development for advanced data extract, transform, and load routines. This position is a limited term summer assignment. Primary Functions Work with the Director of the Data Science Institute to transport at least three Referent Tracking software repositories currently written in Java to Python Develop new functionality for referent tracking based extract transform and load software Develop a new schema for writing general instruction sets for data transformations into referent tracking Participate in meetings with principal investigator and postdoctoral fellow Preferred Schedule: Position Requirements: Knowledge - Skills - Abilities Knowledge of computer science, Java, and Python. Semantic Web, graph databases, and Neo4J desired. MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering a diverse community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual\'s race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic. . EEO/AA Minorities/Females/Vets/Disability The Medical College of Wisconsin is an affirmative action/equal opportunity employer and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, veteran status, disability or sexual orientation. ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/4F9625A138CB4FA9 Qualified females, minorities, and special disabled veterans and other veterans are encouraged to apply.