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

Pay
$142,000–190,000/year · BaseAnnual period assumed — pay source
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.
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Work setting
Hybrid — work setting source
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
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.
Education & alternatives
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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Status in our records
Live
First seen by us
Sep 17, 202648 days ago
Recorded sightings
123
Last seen by us
Nov 4, 2026
Reposted
once since Aug 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

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.

Time since we first saw it

Day 48

Similar jobs usually come down between day 7 and day 53.

From 7,854 similar postings that came down. Coming down is not always a hire.

Biibhr is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Leadership hiring has slowed
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Databricks
  • Power BI
  • Snowflake
Where the posting names them
- 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.

Your next step

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About the role

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.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original 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 

AI & Data Science Leadership 

  • Design, develop and validate machine learning and predictive analytics-based solutions supporting U.S. Commercial function. 
  • 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 practices for model development, monitoring, governance, and continuous improvement. 

 

Patient and Provider Analytics 

  • Develop, deploy advanced analytics, machine learning, and AI solutions to generate actionable insights into patient populations, healthcare provider behavior, treatment patterns, and disease progression. 
  • 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. 
  • Communicate complex analytical findings clearly to leadership and cross-functional teams. 

 

Leadership and Performance 

  • Support a culture of innovation, collaboration, continuous learning, and technical excellence. 
  • Manage external vendors and consulting partners. 
  • Operate effectively in a fast-paced, cross-functional environment, managing multiple initiatives while ensuring timely and high-quality execution. 

 

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. 
  • 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. 

 

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. 


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.

 

 

Source details

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Pay
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.
Location & working pattern

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
More source context
- Excellent communication and stakeholder management skills. Location: Hybrid (U.S.) Reports To: Director, Predictive Sciences
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