Senior Data Science Manager, Predictive Analytics – AI

Biogen

. Lead the development, implementation, and optimization of machine learning and AI solutions for the U.S.

Posted 9/17/2026full-timeCambridge • Massachusetts • United StatesSenior💰 $142,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing machine learning and AI solutions tailored for the pharmaceutical industry, with a strong focus on predictive analytics and stakeholder communication. Proven ability to manage multiple projects while fostering a culture of innovation and collaboration.

Highest-signal resume keywords

Machine Learning ExpertisePython ProgrammingSQL ProficiencyPredictive Analytics DevelopmentStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPredictive AnalyticsStatistical ModelingOptimization TechniquesData IntegrationClaims AnalysisEHR Analysis

Soft Skills

Excellent CommunicationCollaborationInnovation

Tools & Technologies

DatabricksSnowflakePower BI

Industry Keywords

Pharmaceutical IndustryCommercial Data SourcesIQVIASymphony HealthVeevaKomodo

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the development, implementation, and optimization of machine learning and AI solutions for the U.S. Commercial organization
Design, develop, and validate machine learning and predictive analytics solutions
Evaluate business and analytical needs and select appropriate statistical, machine learning, and AI methodologies
Follow and refine best practices for model development, monitoring, governance, and continuous improvement
Develop and deploy advanced analytics, machine learning, and AI solutions for patient and provider insights
Develop predictive models supporting patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies
Integrate and analyze claims, electronic health records, specialty pharmacy, and commercial data
Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate insights into evidence-based business strategies
Communicate complex analytical findings to leadership and cross-functional teams
Support a culture of innovation, collaboration, continuous learning, and technical excellence
Manage external vendors and consulting partners
Manage multiple initiatives while ensuring timely and high-quality execution
Report to the Director, Predictive Sciences

Requirements

What you’ll need

Bachelor's degree with 5+ years of experience, or Master's degree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field
3+ years of experience supporting U.S. Commercial organizations within the pharmaceutical / biotechnology industry
Strong programming skills in Python and SQL
Experience with Databricks, Snowflake and Power BI
Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques
Knowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets
Excellent communication and stakeholder management skills
Ability to work in a hybrid arrangement with on-site presence at the Cambridge, MA office 3 days per week
Approximately 10–20% travel as needed

Benefits

Comp & perks

Regular employees are eligible for 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
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