Medecipher is seeking a highly motivated operations researcher to help bring real-time, operations-based research intelligence to empower hospital operators in making key decisions.
The candidate’s responsibilities involve developing, implementing, and maintaining predictive and prescriptive mathematical models and implementing these models. The candidate will collaborate with software engineers in the development and deployment of the fully integrated solution for hospital customers.
The ideal candidate is a quick learner and an effective communicator, with applied operations experience, excited about his/her work having an immediate impact in the healthcare domain.
Develop, implement, and perform discrete event simulation using modern simulation software tools (e.g. Simio, and Simio APIs and libraries) and/or Python
Develop, implement, and maintain predictive models in R
Develop, implement, and maintain optimization models in modern optimization language using AMPL
Test models for accuracy and performance
Support information technology colleagues, business owners and third-party vendors for overall system integration
Effectively communicate results to technical peers and supervisors
Desired Technical Skills
Operations Research Technologies/Software: AMPL, Simio
Programming Languages: Python, R
Visualization Software: Tableau
Cloud Technologies: AWS
Database: SQL Server, MySQL
Version Control: Git, GitHub
Libraries and Frameworks: Visual Studio, TensorFlow
GUI development frameworks: Visual Studio, Python UIs
Desired Graduate Coursework
Applied simulation Modeling
Applied mathematical programming
Applied predictive modeling/machine learning
Healthcare operations research
Business process/value analysis
Master’s or Applied PhD in Operations Research/Industrial Engineering from a U.S. institution, or
Master’s in operations-focused Analytics program (upon demonstration of knowledge of tools), or
Bachelor’s in Operations Research/Industrial Engineering
Medecipher helps hospitals improve the quality of care for patients, improve the quality of the work environment for staff, and reduce operating costs with a suite of proactive planning and EMR-integrated real-time decision support tools for optimizing clinical operations. Founded by the former managers of an academic emergency department, hospital throughput directors, and industrial engineers, we understand patient flow, throughput, and the operational reality of a hospital.