This position is responsible for building predictive, forecasting, and optimization models for the system of hospitals at OHSU health.
Designs models necessary to forecast capacity issues facing the institution.
Providing technical leadership for defining and developing advanced analytics products.
Use methods from statistics (regression, survival modeling), econometrics (time series), and AI modeling (LLM or multi-modal).
Develop code that meets standards for reliability and scalability.
Output from the model should be provided in various forms to allow other users across the institution to use them.
Delivering business intelligence products under required timelines and quality standards.
Work with ETL engineers to ensure efficient use of data.
Creating and maintaining a dashboard tool for visualizing and interacting with models.
Analyzing present and future data needs of customers and makes recommendations on options and alternatives for implementing applications, systems, or clinical/operational workflows and processes.
Configuration of output for use in dashboards, databases or other tabular forms.
Assists customers with the development of test plans and testing schedules for new systems and applications.
Contributing to the design of analytic, application, or workflow specifications for the most complex and critical OHSU systems and applications.
Ensuring data integrity and validity of models and systems.
Designs, develops and documents new applications and systems or clinical/operational workflows.
Design data reporting to make modeling results available to customers and other analysts at the institution.
Works with vendors, other technical staff and customers to design, develop, test and implement interfaces between systems.
Will fully understand and utilize the System Development Life Cycle (SDLC) process and procedures at OHSU.
Will manage projects by creating timelines, identifying risks and milestones, and providing status reporting to others as defined.
Assumes project management responsibilities for small projects or sub-projects within a larger project.

Requirements

Master’s degree in computer science, a related field, or a clinical field and four years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Bachelor’s degree in computer science, a related field, or a clinical field and six years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Associate’s degree in computer science, a related field, or a clinical field and seven years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Eight years work related experience in the information technology field or a combination of clinical or operational healthcare environments; OR Equivalent combination of education and experience where one year of experience will be substituted for an Associate’s degree and two years of experience will be substituted for a Bachelor’s degree.
3 years of experience in a healthcare setting using diverse sets of data for modeling.
Demonstrated involvement of technology solutions for product development.
Verbal, written, and presentation skills for an executive audience.
Knowledge, Skills, and Abilities Time Series forecasting using ARIMA.
Statistical modeling using Time to event (survival) methods.
Data Visualization experience with Power BI, Tableau, Python.
Predictive modeling using R, Python (pandas, numpy, matplotlib, scikit-learn).
Strong experience with cloud-based platforms (Fabric, Databricks) and transformation tools (PySpark, MLFlow).
Understanding of health record data.
Programming in a GIT environment.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

predictive modelingforecastingoptimization modelsstatistical modelingtime series forecastingsurvival modelingdata visualizationprogramming in Pythonprogramming in Rproject management

Soft Skills

technical leadershipcommunication skillspresentation skillsanalytical skillsproblem-solving skillscollaborationcustomer assistancetimelinessrisk identificationstatus reporting