Principal Analyst, Operations and Health Systems Research

About the role

Biogen studies highly complex, devastating, and burdensome diseases and there are still significant challenges in how we understand and treat them. In 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.

Responsibilities

• 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 programming, 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.

Requirements

• ≥ 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, 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 and experience in communicating results and improving models given feedback from end-users.

Preferred Qualifications

• 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.

Pay

The base compensation range for this role is $141,000.00 - $188,000.00. Base salary offered is determined through an analytical approach utilizing a combination of factors including, but not limited to, relevant skills & experience, job location, and internal equity. Regular employees are eligible to receive both short-term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize future potential based on individual, business unit, and company performance.

Benefits

• 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

About the company

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission.