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

Posted 4 Days Ago
Be an Early Applicant
Cambridge, MA, USA
In-Office
142K-190K Annually
Senior level
Biotech
The Role
Leads development, deployment, and optimization of machine learning, AI, and predictive analytics solutions for U.S. Commercial operations. Builds models using claims, EHR, specialty pharmacy, and commercial data to analyze patient populations, provider behavior, treatment patterns, adherence, and engagement. Partners with Commercial, Medical Affairs, and analytics teams to translate insights into business strategies, while managing vendors, supporting model governance, and communicating findings to leadership.
Summary Generated by Built In

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 the Cambridge, MA office which 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.



Skills Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, plus 5+ years of experience
  • Master’s degree in a related quantitative field, plus 3+ years of experience
  • 3+ years of experience supporting U.S. Commercial organizations in the pharmaceutical or 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 pharmaceutical commercial data sources such as IQVIA, Symphony Health, Veeva, Komodo, claims, or EHR datasets
  • Excellent communication and stakeholder management skills

Biogen Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Biogen and has not been reviewed or approved by Biogen.

  • Fair & Transparent Compensation Pay is generally positioned as competitive and often perceived as fair across roles, with total compensation framed as strong when bonus and equity are included. Compensation sentiment is described as above-average overall, though it varies by function and business cycle.
  • Equity Value & Accessibility Equity programs are repeatedly highlighted as a meaningful part of the total package, including stock programs and an employee stock purchase plan. Equity and bonus elements are portrayed as important contributors to feeling well rewarded beyond base pay.
  • Leave & Time Off Breadth Time-off benefits are described as distinctive, including a year-end shutdown and a paid sabbatical after extended tenure. Vacation, holidays, sick time, and personal-significance days are also presented as supportive of work-life needs.

Biogen Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Cambridge, MA
9,575 Employees
Year Founded: 1978

What We Do

Through cutting-edge science and medicine, Biogen discovers, develops and delivers innovative therapies worldwide for people living with serious neurological and neurodegenerative diseases. Founded in 1978, Biogen is a pioneer in biotechnology and today the Company has the leading portfolio of medicines to treat multiple sclerosis, has introduced the first and only approved treatment for spinal muscular atrophy, and is at the forefront of neurology research for conditions including Alzheimer’s disease, Parkinson’s disease and amyotrophic lateral sclerosis. Biogen also manufactures and commercializes biosimilars of advanced biologics. With approximately 7000 people worldwide, we are truly a global organization, headquartered in Cambridge, Massachusetts, which is also home to our research operations. Our international headquarters are based in Zug, Switzerland and we have world-class manufacturing facilities in North Carolina and Denmark. We offer therapies globally through direct affiliate presence in 30 countries and a network of distribution partners in over 50 additional countries. For more information, please visit www.biogen.com. Follow us on social media – Twitter, LinkedIn, Facebook, YouTube.

Similar Jobs

Alaffia Health Logo Alaffia Health

Implementation Lead

Artificial Intelligence • Healthtech • Insurance • Machine Learning • Payments
Remote or Hybrid
United States
80 Employees
120K-160K Annually

SmartBear Logo SmartBear

People & Culture Operations Partner

Cloud • Internet of Things • Software • App development • Automation
Easy Apply
In-Office
Somerville, MA, USA
800 Employees
95K-110K Annually

Liberty Mutual Insurance Logo Liberty Mutual Insurance

Configuration Engineer

Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Remote or Hybrid
6 Locations
40000 Employees
83K-154K Annually

Ekotrope Logo Ekotrope

Energy Model Developer

Cloud • Greentech • Information Technology • Software • Energy
Hybrid
Boston, MA, USA
37 Employees

Similar Companies Hiring

Formation Bio Thumbnail
Artificial Intelligence • Big Data • Healthtech • Biotech • Pharmaceutical
New York, NY
150 Employees
SOPHiA GENETICS Thumbnail
Software • Healthtech • Biotech • Big Data • Artificial Intelligence
Boston, MA
450 Employees
Pfizer Thumbnail
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
New York, NY
121990 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account