{"id":1973428,"url":"https://alion.io/job/biogen-senior-data-science-manager-predictive-analytics-ai-us-commercial-2","title":"Senior Data Science Manager, Predictive Analytics & AI – US Commercial","company":{"id":449685,"name":"Biogen","domain":"biogen.com","url":"https://alion.io/company/biogen-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":18,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":142000,"max":190000,"currency":"USD","period":"year","gross":null,"usd_annual":190000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Veeva","optional":false}],"status":"live","first_seen_at":"2026-09-17T00:00:00Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-21T03:08:29Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"TheSenior Data Science Manager, Predictive Analytics & AI - US Commercial willbe responsible for developing, implementing and optimizingof machine learning and AI solutions that drive data-driven decision-making across the U.S. Commercial organization. This role partners closely with Insights & Analytics, Enterprise Data Management, Information Technology, and Medical Affairs to develop predictive models and analytical solutions that generate actionable insights into patient populationsandhealthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strongexpertisein machine learning and AI todeliver timely,innovative solutions that inform strategic decisions and accelerate commercial growth.\nThis is a hybrid role to the Cambridge, MA office which requires an on-site presence 3 days per week.\nKey Responsibilities\nAI & Data Science Leadership\nDesign, developandvalidatemachine learningandpredictive analytics-basedsolutions supporting U.S. Commercial function.\n\nEvaluate business and analytical needs to select and implementappropriate statistical, machine learning, and AI methodologies that deliver meaningful insights into patient populations, healthcare provider behavior, treatment patterns, and commercial opportunities.\n\nFollow andrefinebest practices for model development, monitoring, governance, and continuous improvement.\n\nPatient and ProviderAnalytics\nDevelop,deploy advancedanalytics, machine learning, and AI solutions to generate actionable insights into patient populations, healthcare provider behavior, treatment patterns, and disease progression.\n\nDevelop predictive models that support patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies.\n\nIntegrate and analyze claims, electronic health records (EHR), specialty pharmacy, and commercial data to uncover opportunities that improve patient access, provider engagement, and commercial effectiveness.\n\nPartner with Commercial, Medical Affairs, and Insights & Analytics teams to translate patient and provider insights into evidence-based business strategies.\n\nCommunicate complex analytical findings clearly to leadershipand cross-functional teams.\n\nLeadershipand Performance\nSupporta culture of innovation, collaboration, continuous learning, and technical excellence.\n\nManage external vendors and consulting partners.\n\nOperate effectively in a fast-paced, cross-functional environment, managing multiple initiatives while ensuring timely and high-quality execution.\n\nRequiredQualifications\nBachelor's degree with 5+ years of experience, orMaster'sdegree with 3+ years of experience, in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field.\n\n3+ years of experience supporting U.S. Commercial organizations within the pharmaceutical/biotechnologyindustry.\n\nStrong programming skills in PythonandSQL.\n\nExperience with Databricks, Snowflakeand Power BI.\n\nExpertisein machine learning, statistical modeling, predictive analytics, and optimization techniques.\n\nKnowledge of commercial pharmaceutical data sources such as IQVIA, Symphony Health, Veeva, Komodo, or claims and EHR datasets.\n\nExcellent communication and stakeholder management skills.\n\nLocation: Hybrid (U.S.)\nReports To: Director,Predictive Sciences\nTravel: Approximately 10-20% as needed\nJob Level: Management Additional Information\nThe base compensation range for this role is: $142,000.00-$190,000.00Base 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.\nRegular 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.\nIn 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:\nMedical, Dental, Vision, & Life insurances\nFitness & Wellness programs including a fitness reimbursement \nShort- and Long-Term Disability insurance\nA minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)\nUp to 12 company paid holidays + 3 paid days off for Personal Significance \n80 hours of sick time per calendar year\nPaid Maternity and Parental Leave benefit \n401(k) program participation with company matched contributions\nEmployee stock purchase plan \nTuition reimbursement of up to $10,000 per calendar year \nEmployee Resource Groups participation\nWhy Biogen?\nWe 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.\nAt 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.\nAll 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. 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