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Predictive Modeler Jobs in Massachusetts (NOW HIRING)

Predictive Modeling: Build and maintain predictive and forecasting models-spanning MMM, attribution, and incrementality-to anticipate media performance and guide allocation decisions before results ...

The role translates recurring needs from computational biology, immunology, and clinical teams into fit-for-purpose AI systems, including generative AI, agentic workflows, predictive models ...

The role translates recurring needs from computational biology, immunology, and clinical teams into fit-for-purpose AI systems, including generative AI, agentic workflows, predictive models ...

Predictive Modeling: Build and maintain predictive and forecasting models-spanning MMM, attribution, and incrementality-to anticipate media performance and guide allocation decisions before results ...

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Sr. Software Engineer (TS/SCI)

Boston, MA · On-site

$124K - $149K/yr

Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes utilizing tools like IBM CPLEX ...

Showing results 21-40

Predictive Modeler information

See Massachusetts salary details

$11

$64

$90

How much do predictive modeler jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for predictive modeler in Massachusetts is $64.12, according to ZipRecruiter salary data. Most workers in this role earn between $57.50 and $74.57 per hour, depending on experience, location, and employer.

What is a predictive modeler?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

How does a predictive modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What are the key skills and qualifications needed to thrive as a predictive modeler, and why are they important?

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

What are popular job titles related to Predictive Modeler jobs in MA?

For Predictive Modeler jobs in MA, the most frequently searched job titles are:

Infographic showing various Predictive Modeler job openings in Massachusetts as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $133,373 per year, or $64.1 per hour.

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

Cambridge, MA • On-site

$142K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Job description

The Senior Data Science Manager, Predictive Analytics & AI – US Commercial will be responsible for developing, implementing and optimizing of machine learningand AI solutionsthat drive data-driven decision-makingacross the U.S. Commercial organization. This role partners closely with Insights& Analytics, EnterpriseData Management, InformationTechnology, and MedicalAffairs to developpredictive models and analytical solutionsthat generate actionableinsights into patientpopulationsandhealthcareprovider behavior. The successful candidatebrings deep biotech commercial acumen and strongexpertisein machine learning and AI todelivert timely ,innovative solutions thatinformstrategic decisionsand accelerate commercialgrowth.

This is a hybrid role to the Cambridge, MA office which requires an on-site presence3days per week.

Key ResponsibilitiesAI & Data Science Leadership
  • D esign, develop and validat e machine learning and predictive analytics-based solutions supportingU.S. Commercialfunction.
  • 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 practicesfor model development, monitoring, governance, and continuous improvement.
Patient and Provider Analytics
  • D evelo p , deployadvanced analytics, machine learning, andAI solutions togenerate actionable insightsinto patient populations, healthcare provider behavior, treatment patterns, anddisease progression.
  • Develop predictive modelsthat support patientidentification, segmentation, treatment initiation,adherence, persistence,and healthcare providerengagement strategies.
  • Integrate and analyzeclaims, electronic healthrecords (EHR), specialtypharmacy, and commercialdata to uncoveropportunities that improvepatient access, providerengagement, and commercialeffectiveness.
  • Partner with Commercial, Medical Affairs, andInsights & Analytics teamsto translate patientand provider insightsinto evidence-basedbusiness strategies.
  • Communicate complex analyticalfindings clearly to leadership andcross‑functional teams.
Leadership and Performance
  • Support a cultureof innovation, collaboration, continuous learning, andtechnical excellence.
  • Manage external vendorsand consulting partners.
  • Operate effectively ina fast‑paced, cross‑functional environment, managing multiple initiativeswhile ensuring timelyand high‑qualityexecution.
Required Qualifications
  • Bachelor's degree with 5+ years of experience, orMaster'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 organizationswithin the pharmaceutical/biotechnologyindustry.
  • Strong programming skillsin PythonandSQL.
  • Experience with Databricks, SnowflakeandPowerBI.
  • Expertisein machinelearning, statistical modeling, predictive analytics,and optimization techniques.
  • Knowledge of commercialpharmaceutical data sourcessuch as IQVIA, Symphony Health, Veeva, Komodo, or claimsand EHR datasets.
  • Excellent communicationand stakeholder managementskills.

Location:Hybrid (U.S.)

Reports To:Director,Predictive Sciences

Travel:Approximately10–20% 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 (Dec26-Dec31)
    • 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 onto 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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