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Predictive Analyst Jobs in Massachusetts (NOW HIRING)

Lead the transformation of People Analytics into a strategic, predictive, and AI-enabled capability that shapes organizational decisions, influences behavior, and drives measurable business outcomes.

Lead the transformation of People Analytics into a strategic, predictive, and AI-enabled capability that shapes organizational decisions, influences behavior, and drives measurable business outcomes.

The analyst will also contribute to expanding the university's predictive analytics capabilities around student success analytics, and other emerging quantitative methods, working with large, complex ...

The analyst will also contribute to expanding the university's predictive analytics capabilities around student success analytics, and other emerging quantitative methods, working with large, complex ...

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Leveraging our expertise in complex systems analysis, advanced algorithm development, and hardware ... Basic knowledge of descriptive and inferential statistics (e.g., graphical techniques, predictive ...

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Predictive Analyst information

What is a predictive analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

What are the key skills and qualifications needed to thrive as a predictive analyst?

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a predictive analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

How do you become a predictive analyst?

To become a predictive analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or data science. Developing skills in programming languages such as Python or R, understanding machine learning techniques, and gaining experience with data analysis tools are essential. Earning certifications in data analytics or machine learning can also enhance job prospects.

What are popular job titles related to Predictive Analyst jobs in Massachusetts?

For Predictive Analyst jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Predictive Analyst jobs in Massachusetts look for?

The top searched job categories for Predictive Analyst jobs in Massachusetts are:

Infographic showing various Predictive Analyst job openings in Massachusetts as of August 2026, with employment types broken down into 84% Full Time, 9% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution.

Senior Manager, Predictive Science & AI - US Commercial

Biogen

Cambridge, MA • On-site

$142K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Biogen rating

9.3

Company rating: 9.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical


Job description

The Senior Manager, Predictive Science & 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.

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About Biogen

Sourced by ZipRecruiter

At Biogen, our mission is clear - we are pioneers in neuroscience. Biogen discovers, develops, and delivers worldwide innovative therapies for people living with serious neurological and neurodegenerative diseases. Together, our employees create, commercialize, and manufacture transformative therapies for our patient population.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Cambridge, MA, US

Year founded

1978

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