Pay
In line with similar jobs
$142K–$190K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Cambridge, MA
Live, first seen by us 48 days agoJob 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.Read the full posting
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of 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 populations and healthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strong expertise in machine learning and AI to deliver timely, innovative solutions that inform strategic decisions and accelerate commercial growth. This is a hybrid role to either the Cambridge, MA or RTP, NC office and requires an on-site presence 3 days per week. Key Responsibilities
Excellent communication and stakeholder management skills. Location: Hybrid (U.S.) Reports To: Director, Predictive SciencesRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Develop models for patient segmentation, treatment initiation, adherence and persistence
Integrate claims, EHR, specialty pharmacy and commercial data to find access and engagement gaps
Translate patient and provider insights into business strategies with Medical Affairs and other teams
Manage external vendors and consulting partners
Develop predictive models that support patient identification, segmentation, treatment initiation, adherence, persistence, and healthcare provider engagement strategies.
Integrate and analyze claims, electronic health records (EHR), specialty pharmacy, and commercial data to uncover opportunities that improve patient access, provider engagement, and commercial effectiveness.
Partner with Commercial, Medical Affairs, and Insights & Analytics teams to translate patient and provider insights into evidence-based business strategies.
Manage external vendors and consulting partners.
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.
80 hours of sick time per calendar year
401(k) program participation with company matched contributions
3+ years of experience supporting U.S. Commercial organizations within the pharmaceutical / biotechnology industry.
Experience with Databricks, Snowflake and Power BI.
Expertise in machine learning, statistical modeling, predictive analytics, and optimization techniques.
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 organizations within the pharmaceutical / biotechnology industry.
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In line with similar jobs
$142K–$190K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 48
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- 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.
- 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.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of 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 populations and healthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strong expertise in machine learning and AI to deliver timely, innovative solutions that inform strategic decisions and accelerate commercial growth.
This is a hybrid role to either the Cambridge, MA or RTP, NC office and requires an on-site presence 3 days per week.
Key Responsibilities
AI & Data Science Leadership
Patient and Provider Analytics
Leadership and Performance
Required Qualifications
Location: Hybrid (U.S.)
Reports To: Director, Predictive Sciences
Travel: Approximately 10–20% as needed
Additional Information
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:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
Cambridge, MA
The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of 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 populations and healthcare provider behavior. The successful candidate brings deep biotech commercial acumen and strong expertise in machine learning and AI to deliver timely, innovative solutions that inform strategic decisions and accelerate commercial growth. This is a hybrid role to either the Cambridge, MA or RTP, NC office and requires an on-site presence 3 days per week. Key Responsibilities
- Excellent communication and stakeholder management skills. Location: Hybrid (U.S.) Reports To: Director, Predictive Sciences
No clear work-authorization passage found. Eligibility is unconfirmed.