Senior Data Science Manager, Predictive Analytics & AI – US Commercial

Biogen; Cambridge (MA); Hybrid; USD 142,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Retirement plan

Job summary

Biogen seeks a Senior Data Science Manager to lead Predictive Analytics & AI for US Commercial. The role develops and optimizes ML/AI solutions across models and analytic offerings that inform decision making for patients and providers.

Hybrid work requires on-site presence in Cambridge, MA three days per week, reporting to the Director of Predictive Sciences. You will manage external vendors, drive data-driven strategies, and partner with Commercial, Medical Affairs, and Insights teams to

Qualifications

• Degree in data science, CS, statistics, or a related quantitative field with 3+ years in pharma/biotech US Commercial.
• Proven Python/SQL programming and experience with ML/AI methods for commercial analytics.
• Familiarity with commercial data sources (IQVIA, Symphony Health, Veeva, EHR/claims).
• Strong communication and stakeholder management skills.

Responsibilities

• Design, develop, and validate ML and predictive analytics solutions for US Commercial.
• Collaborate with Insights & Analytics, IDM, IT, and Medical Affairs to translate insights into strategies.
• Lead governance, monitoring, and continuous improvement of models and analytics platforms.
• Partner with cross-functional teams to drive patient and provider analytics and commercial opportunities.
• Communicate complex findings clearly to leadership and peers.

Skills

Python

SQL

Machine Learning

AI

Modeling

Leadership

Education

Bachelor's or Master's in a quantitative field

Tools

Databricks

Snowflake

Power BI

Job description

Senior Data Science Manager, Predictive Analytics & AI – US Commercial

will be responsible for developing, implementing and optimizing of machine learningand AI solutionsthat drive data-driven decision-makingacross the U.S. Commercial organization. This role partnersclosely with Insights& Analytics, EnterpriseData Management, InformationTechnology, and MedicalAffairs to developpredictive models and analytical solutionsthat generate actionableinsights into patientpopulations and healthcareprovider behavior.The successful candidatebrings deep biotech commercial acumen and strong expertise in machine learning and AI to delivertimely, innovative solutions thatinform strategic decisionsand accelerate commercialgrowth.

This is a hybrid role to the Cambridge, MA office which requires an on-site presence 3 days per week.

Key Responsibilities

AI & Data Science Leadership

• Design, develop and validatemachine learning and predictiveanalytics-based solutions supportingU.S. Commercialfunction.
• Evaluate business and analytical needs to select and implement appropriate statistical, machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.
• Follow and refine best practicesfor model development, monitoring, governance, and continuous improvement.

Patient and Provider Analytics

• Develop, deployadvanced analytics, machine learning, andAI solutions togenerate actionable insightsinto patient populations, healthcare provider behavior, treatment patterns, and disease progression.
• Develop predictive modelsthat support patientidentification, segmentation, treatment initiation, adherence, persistence,and healthcare providerengagement strategies.
• Integrate and analyzeclaims, electronic healthrecords (EHR), specialtypharmacy, and commercialdata to uncoveropportunities that improvepatient access, providerengagement, and commercialeffectiveness.
• Partner with Commercial, Medical Affairs, andInsights & Analytics teamsto translate patientand provider insightsinto evidence-basedbusiness strategies.
• Communicate complex analyticalfindings clearly toleadership andcross-functional teams.

Leadership and Performance

• Support a cultureof innovation, collaboration, continuous learning, andtechnical excellence.
• Manage external vendorsand consulting partners.
• Operate effectively ina fast-paced, cross-functional environment, managing multiple initiativeswhile ensuring timelyand high-qualityexecution.

Required Qualifications

• 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 organizationswithin the pharmaceutical / biotechnology industry.
• Strong programming skillsin Python and SQL.
• Experience with Databricks, Snowflake and Power BI.
• Expertise in machinelearning, statistical modeling, predictive analytics,and optimization techniques.
• Knowledge of commercialpharmaceutical data sourcessuch as IQVIA, Symphony Health, Veeva, Komodo, or claimsand EHR datasets.
• Excellent communicationand stakeholder managementskills.

Location

Hybrid (U.S.)

Reports To

Director, Predictive Sciences

Travel

Approximately 10–20% as needed

Job Level: Management

Additional Information

The base compensation range for this role is: $142,000.00-$190,000.00

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 your future potential based on individual, business unit and company performance.

Benefits

In addition to compensation, Biogen offers a full and highly competitive range of benefits designed to support our employees’ and their families physical, financial, emotional, and social well-being; including, but not limited to:

• 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

Why Biogen?

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. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about Biogen.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.