Principal Analyst, Operations and Health Systems Research

About This Role Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat  the Quantitative Sciences Development Organization we aspire to transform patients’ lives by accelerating disease research using best in breed and emerging techniques. Leveraging applied machine learning and emerging technologies, we drive solutions to advance research, clinical care, and patient empowerment.

We stand with our colleagues across Biogen developing pioneering treatments. We believe that now, more than ever, biology and technology should go hand-in-hand to better meet patient needs, while enabling a shift towards more prevention-focused, affordable, and equitable care.

What You’ll Do As a Principal Analyst, Operations and Health Systems Research, you will:

Design, develop, and implement complex end-to-end data pipelines, engineer features and forecasting models to understand the intersection of health systems utilization and clinical research

Integrate real world data sources in order to build epidemiological and disease forecasting models used to support decision-making for clinical trial operations

Leverage methods from operations research such as constraints-based optimization, linear and non-linear programing, simulation and network modeling to understand participant, investigator, and sponsor behaviors that drive risk, benefit, and uncertainty in clinical trial outcomes.

Generate evidence and communicate results, including at conferences and in peer-reviewed publications for audiences in the therapeutic area of interest, sensor science, machine learning and operations research.

Support integration, design and development of novel measures, models, and metrics to assess model validity and performance across the model lifecycle.

Who You Are You are passionate about exploring and establishing new methods for looking at data across devices, applications, data streams, and diseases. You love figuring out how to create mathematical and statistical models that relate human biology, clinical development, and sensor technology to business outcomes and patient needs.

Required Skills = 5 years Pharma/Biotech/Tech/Healthcare industry experience, alternatively extensive experience in academic/clinical centers of excellence

Expertise in leveraging electronic health records and other data sources derived from clinical care via state-of-the-art methodologies, programming languages, and tools

Experience working on machine learning operations research, and data science problems using formal software development lifecycle approaches and best practices as part of a software delivery organization

Profound experience in data science, machine learning, operations research and data engineering programming using python/R and higher-level libraries such as numpy, pandas, scipy, stats models, scikit-learn, Google OR Tools, Tensor Flow/PyTorch, pyspark, tidyverse, sparklyr, mlr, tidy models or similar

Strong familiarity with simulation and forecasting models used by business stakeholders and experience in communicating results and improving models given feedback from end-users

Preferred Skills Experienced in communicating and building consensus on highly technical or sensitive information with technology and business teams

Experience iterating through UI/UX patterns, data visualization, and front-end interactions and balancing across conflicting stakeholder preferences

Formal application of principles of empirical science including statistical modeling, design of experiments, and hypothesis formulation and testing

Advanced degree in public health, epidemiology, public health economics, operations research or a similar discipline

Job Level: Management…