Principal Analyst, Operations and Health Systems Research

Design, develop, and implement complex end-to-end data pipelines, engineered features, and forecasting models for health systems utilization and clinical research Integrate real world data sources to build epidemiological and disease forecasting models supporting clinical trial operations decision-making Apply constraints-based optimization, linear and non-linear programming, simulation, and network modeling to understand participant, investigator, and sponsor behaviors affecting clinical trial outcomes Generate evidence and communicate results at conferences and in peer-reviewed publications Support the integration, design, and development of measures, models, and metrics to assess model validity and performance across the model lifecycle Requirements >= 5 years Pharma/Biotech/Tech/Healthcare industry experience, alternatively extensive experience in academic/clinical centers of excellence Expertise leveraging electronic health records and other clinical-care-derived data sources using state-of-the-art methodologies, programming languages, and tools Experience with machine learning, operations research, and data science problems using formal software development lifecycle approaches and best practices in a software delivery organization Profound experience in data science, machine learning, operations research, and data engineering programming Proficiency with Python/R and higher-level libraries such as numpy, pandas, scipy, statsmodels, scikit-learn, Google OR Tools, TensorFlow/PyTorch, pyspark, tidyverse, sparklyr, mlr, tidymodels, or similar Strong familiarity with simulation and forecasting models used by business stakeholders Experience communicating results and improving models based on end-user feedback Core Competencies Demonstrates expertise in designing and implementing complex data pipelines and forecasting models for healthcare applications, utilizing advanced programming skills in Python and R. Proficient in machine learning, operations research, and data engineering, with a strong focus on model validation and performance assessment. Highest-signal resume keywords Data Pipeline Development Machine Learning Expertise Python/R Proficiency Operations Research Epidemiological Modeling ATS Optimization Keywords Hard Skills Data Science Forecasting Models Optimization Techniques Simulation Modeling Linear Programming Non-Linear Programming Network Modeling Model Validation Clinical Trial Operations Data Engineering Soft Skills Communication Skills Collaboration Industry Keywords Pharma Biotech Healthcare Clinical Research Electronic Health Records Clinical Trial Data Sources End-User Feedback Software Development Lifecycle Clinical-Care-Derived Data Tools & Technologies Numpy Pandas Scipy Statsmodels Scikit-Learn Google OR Tools TensorFlow PyTorch Pyspark Tidyverse #J-18808-Ljbffr Jobtailor