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

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

Benefits offered by this job

Medical benefits

Dental & Vision Insurance

Equity incentives

Job summary

Biogen seeks a Senior Data Science Manager, Predictive Analytics & AI to lead ML and predictive analytics for the US Commercial organization. Hybrid role in Cambridge, MA, on-site three days per week, partnering with Insights & Analytics, EDMA, IT, and Medical Affairs to deliver data-driven strategies.

Responsibilities include designing ML solutions, extracting insights from claims, EHR, and pharmacy data, and communicating results to leadership.

Qualifications

• Bachelor's or Master's in a quantitative field with 3+ years (Master's) or 5+ years (Bachelor's) data science/ML experience.
• 3+ years supporting US Commercial within pharma/biotech.
• Strong programming in Python and SQL.
• Experience with Databricks, Snowflake and PowerBI.

Responsibilities

• Design, develop, and validate ML/predictive analytics solutions for US Commercial.
• Evaluate needs and select ML/AI methods to deliver insights on patient populations and provider behavior.
• Develop and follow best practices for model development, governance, and continuous improvement.
• Communicate findings clearly to leadership and cross‑functional teams.

Skills

Python

SQL

Education

Bachelor's degree in Data Science or related field

Master's degree in Data Science or related field

Tools

Databricks

Snowflake

PowerBI

Job description

The 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 partners closely with Insights& Analytics, EnterpriseData Management, InformationTechnology, and MedicalAffairs to developpredictive models and analytical solutionsthat generate actionableinsights into patientpopulationsandhealthcareprovider behavior. The successful candidatebrings deep biotech commercial acumen and strongexpertisein machine learning and AI todelivert timely ,innovative solutions thatinformstrategic decisionsand accelerate commercialgrowth.

This is a hybrid role to the Cambridge, MA office which requires an on-site presence3days per week.

Key Responsibilities

AI & Data Science Leadership

• D esign, develop and validat e machine learning and predictive analytics-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

• D evelo p , deployadvanced analytics, machine learning, andAI solutions togenerate actionable insightsinto patient populations, healthcare provider behavior, treatment patterns, anddisease 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 to leadership 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, orMaster'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/biotechnologyindustry.
• Strong programming skillsin PythonandSQL.
• Experience with Databricks, SnowflakeandPowerBI.
• Expertisein 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:Approximately10–20% 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.
• 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 (Dec26-Dec31)
• 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 onto 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.