Principal Analyst, Operations and Health Systems Research

Biogen

Principal Analyst applying machine learning, operations research, and real-world data to improve Biogen clinical trial operations. Building forecasting models and evidence for healthcare and patient-focused decisions.

Posted 8/11/2026full-timeCambridge • Massachusetts, North Carolina • 🇺🇸 United StatesLead💰 $141,000 - $188,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 DevelopmentMachine Learning ExpertisePython/R ProficiencyOperations ResearchEpidemiological Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceForecasting ModelsOptimization TechniquesSimulation ModelingLinear ProgrammingNon-Linear ProgrammingNetwork ModelingModel ValidationClinical Trial OperationsData Engineering

Soft Skills

Communication SkillsCollaboration

Tools & Technologies

NumpyPandasScipyStatsmodelsScikit-LearnGoogle OR ToolsTensorFlowPyTorchPysparkTidyverse

Industry Keywords

PharmaBiotechHealthcareClinical ResearchElectronic Health RecordsClinical TrialData SourcesEnd-User FeedbackSoftware Development LifecycleClinical-Care-Derived Data

Tech Stack

Tools & technologies

NumpyPandasPySparkPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

>= 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

Benefits

Comp & perks

Short-term and long-term incentives, including cash bonus and equity incentive opportunities
Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation