Quantitative Jobs in Massachusetts
Quantitative jobs in Massachusetts are concentrated in financial services, asset management, biostatistics, and technology, making the state one of the most active markets in the country for this work at every level from junior analyst to portfolio manager. Boston is the dominant hiring hub, with Cambridge and Waltham also drawing consistent demand from hedge funds, life sciences firms, and technology companies. Employers with a lasting presence in the state include Fidelity Investments, State Street, and MIT Lincoln Laboratory, and the specialties in highest demand are quantitative research, risk modeling, and algorithmic trading. Scan the live roles below and apply to whichever ones fit.
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Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Position Summary
As a Lead Quantitative UX Researcher, you’ll make behavioral data a core part of how we understand users, using Amplitude and behavioral analytics to uncover meaningful insights into the diverse client and customer populations we serve as a healthcare company. Embedded in specific product areas and partnering closely with our Behavioral Data & Product (BDP) team, you’ll drive how behavioral data shapes everyday product decisions alongside product, design, and engineering partners. This isn’t a lone-researcher role delivering findings from the sidelines: you’ll stay with the team to understand why users behave the way they do and help decide what we build in response. You’ll also be the team’s resident expert on behavioral data, helping teammates see what’s possible with it and get invested in using it well. This is a hybrid role based in Boston and reports to the Principal Design Researcher, Senior Manager.
About the Team
The Data and Ecosystem Platform subdivision focuses on data access, integration, and interoperability across the healthcare ecosystem. As part of the broader User Experience team, you will support specific product areas while shifting focus as organizational priorities evolve. The role will primarily focus on hands-on research and exploration, with additional responsibility for turning effective methods, cohort definitions, dashboards, study designs, and tracking standards into repeatable resources for other teams that raise the bar for how teams across the organization use behavioral data.
Essential Job Responsibilities
- Plan research with Product, Design, Engineering, and Research partners by defining research questions, hypotheses, study designs, and success measures.
- Analyze user and customer behavior through funnel and drop-off analysis, retention and cohort comparisons, journey and path analysis, behavioral segmentation, controlled experiments, surveys, and statistical modeling.
- Use Amplitude, SQL, and R or Python to combine data sources, conduct significance testing and modeling, and analyze behavioral, survey, and mixed-method data.
- Identify segment- and specialty-specific patterns that improve the organization’s understanding of its diverse users and customers.
- Combine quantitative findings with qualitative and survey research to develop a more complete understanding of user behavior and the factors influencing it.
- Conduct qualitative research, including user interviews, usability testing, concept testing, diary studies, and contextual inquiry.
- Define meaningful cohorts and segments and translate them into participant lists, screeners, and outreach criteria.
- Partner with the Behavioral Data & Product and Engineering teams on cross-product analyses, event taxonomies, tracking plans, data quality, and centralized user profile use cases.
- Develop clear dashboards, reports, readouts, and recommendations that help technical and non-technical stakeholders make product and design decisions.
- Apply AI tools responsibly to improve the speed, scale, and quality of behavioral and survey data analysis while developing transparent, repeatable AI-assisted research workflows
Additional Job Responsibilities
- Identify behavioral research opportunities and carry them from initial questions through analysis, recommendations, and product decisions.
- Integrate behavioral insights into product planning, design critiques, experimentation, and post-launch reviews.
- Partner with designers to translate findings into design recommendations and evaluate whether experience changes achieve the intended results.
- Convert effective research methods, templates, dashboards, and study designs into repeatable tools and processes in partnership with the Behavioral Data & Product team.
- Create case studies and practical examples that demonstrate how behavioral data and Amplitude can support product decisions.
- Share knowledge about behavioral analytics methods and contribute to research standards and practices across the organization.
Expected Education & Experience
- 5+ years of industry experience in quantitative UX research or behavioral data science, with demonstrated depth in behavioral data and hands-on experience in experimentation.
- Proficiency in SQL and R or Python, and in statistical methods such as significance testing and modeling.
- Experience with product analytics platforms, specifically Amplitude.
- Experience using AI tools in everyday research practice to improve the speed, scale, and quality of behavioral and survey data analysis and develop responsible, repeatable AI-assisted workflows.
- Working competence in qualitative methods, including user interviewing, usability testing, and concept testing.
- Working understanding of usability heuristics and core design principles, including information hierarchy, chart selection, and progressive disclosure, applied to dashboards, reports, and self-service tools.
- Demonstrated ability to move between technical rigor and clear stakeholder communication.
- Portfolio or work samples demonstrating problem framing, study design, analysis, and how findings shaped product decisions.
- Academic or professional background in behavioral science, behavioral economics, the social sciences, or a related field preferred.
- Experience in healthcare, enterprise software, or other complex operational domains preferred.
Expected Compensation
The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
About athenahealth
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
What we can do for you:
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here: athenahealth.com/careers
https://www.athenahealth.com/careers/equal-opportunity
Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Position Summary
As a Lead Quantitative UX Researcher, you’ll make behavioral data a core part of how we understand users, using Amplitude and behavioral analytics to uncover meaningful insights into the diverse client and customer populations we serve as a healthcare company. Embedded in specific product areas and partnering closely with our Behavioral Data & Product (BDP) team, you’ll drive how behavioral data shapes everyday product decisions alongside product, design, and engineering partners. This isn’t a lone-researcher role delivering findings from the sidelines: you’ll stay with the team to understand why users behave the way they do and help decide what we build in response. You’ll also be the team’s resident expert on behavioral data, helping teammates see what’s possible with it and get invested in using it well. This is a hybrid role based in Boston and reports to the Principal Design Researcher, Senior Manager.
About the Team
The Data and Ecosystem Platform subdivision focuses on data access, integration, and interoperability across the healthcare ecosystem. As part of the broader User Experience team, you will support specific product areas while shifting focus as organizational priorities evolve. The role will primarily focus on hands-on research and exploration, with additional responsibility for turning effective methods, cohort definitions, dashboards, study designs, and tracking standards into repeatable resources for other teams that raise the bar for how teams across the organization use behavioral data.
Essential Job Responsibilities
- Plan research with Product, Design, Engineering, and Research partners by defining research questions, hypotheses, study designs, and success measures.
- Analyze user and customer behavior through funnel and drop-off analysis, retention and cohort comparisons, journey and path analysis, behavioral segmentation, controlled experiments, surveys, and statistical modeling.
- Use Amplitude, SQL, and R or Python to combine data sources, conduct significance testing and modeling, and analyze behavioral, survey, and mixed-method data.
- Identify segment- and specialty-specific patterns that improve the organization’s understanding of its diverse users and customers.
- Combine quantitative findings with qualitative and survey research to develop a more complete understanding of user behavior and the factors influencing it.
- Conduct qualitative research, including user interviews, usability testing, concept testing, diary studies, and contextual inquiry.
- Define meaningful cohorts and segments and translate them into participant lists, screeners, and outreach criteria.
- Partner with the Behavioral Data & Product and Engineering teams on cross-product analyses, event taxonomies, tracking plans, data quality, and centralized user profile use cases.
- Develop clear dashboards, reports, readouts, and recommendations that help technical and non-technical stakeholders make product and design decisions.
- Apply AI tools responsibly to improve the speed, scale, and quality of behavioral and survey data analysis while developing transparent, repeatable AI-assisted research workflows
Additional Job Responsibilities
- Identify behavioral research opportunities and carry them from initial questions through analysis, recommendations, and product decisions.
- Integrate behavioral insights into product planning, design critiques, experimentation, and post-launch reviews.
- Partner with designers to translate findings into design recommendations and evaluate whether experience changes achieve the intended results.
- Convert effective research methods, templates, dashboards, and study designs into repeatable tools and processes in partnership with the Behavioral Data & Product team.
- Create case studies and practical examples that demonstrate how behavioral data and Amplitude can support product decisions.
- Share knowledge about behavioral analytics methods and contribute to research standards and practices across the organization.
Expected Education & Experience
- 5+ years of industry experience in quantitative UX research or behavioral data science, with demonstrated depth in behavioral data and hands-on experience in experimentation.
- Proficiency in SQL and R or Python, and in statistical methods such as significance testing and modeling.
- Experience with product analytics platforms, specifically Amplitude.
- Experience using AI tools in everyday research practice to improve the speed, scale, and quality of behavioral and survey data analysis and develop responsible, repeatable AI-assisted workflows.
- Working competence in qualitative methods, including user interviewing, usability testing, and concept testing.
- Working understanding of usability heuristics and core design principles, including information hierarchy, chart selection, and progressive disclosure, applied to dashboards, reports, and self-service tools.
- Demonstrated ability to move between technical rigor and clear stakeholder communication.
- Portfolio or work samples demonstrating problem framing, study design, analysis, and how findings shaped product decisions.
- Academic or professional background in behavioral science, behavioral economics, the social sciences, or a related field preferred.
- Experience in healthcare, enterprise software, or other complex operational domains preferred.
Expected Compensation
The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
About athenahealth
Our vision: In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Our company culture: Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
What we can do for you:
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
Learn more about our culture and benefits here: athenahealth.com/careers
https://www.athenahealth.com/careers/equal-opportunity
See All 32 Quantitative Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Quantitative JobsQuantitative Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Quantitative Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Investment & Asset Management
- Insurance
What Massachusetts Employers Look For
The qualifications that appear most often in quantitative jobs across Massachusetts.
- Bachelor's or advanced degree in mathematics, statistics, finance, or a related quantitative field
- Demonstrated proficiency in Python, R, or MATLAB for data analysis and model development
- Experience building and validating statistical or machine learning models in a professional setting
- Strong background in probability theory, stochastic calculus, or econometrics depending on the role
- Ability to communicate complex quantitative findings clearly to non-technical stakeholders
- Familiarity with financial instruments, derivatives pricing, or risk measurement frameworks
Quantitative Jobs in Massachusetts: Frequently Asked Questions
How do you become a quantitative in Massachusetts?
Most quantitative roles in Massachusetts require at least a bachelor's degree in mathematics, statistics, physics, computer science, or engineering, and many employers in the state prefer candidates with a master's or doctorate. There is no state-issued license specific to quantitative work in Massachusetts, so hiring depends on demonstrated technical skills and academic credentials. Building a strong portfolio of modeling or research projects and targeting Boston-area finance and life sciences firms is the most concrete path in.
Which companies hire quantitatives in Massachusetts?
Employers hiring quantitatives in Massachusetts right now include Moderna, Fidelity Investments, and HarbourVest, based on current listings on Migrate Mate as of November 2026. Massachusetts's deep concentration of hedge funds, asset managers, and biotech firms along the Route 128 corridor means consistent demand for quantitative talent year-round.
Which Massachusetts cities have the most quantitative jobs?
The cities with the most quantitative openings in Massachusetts are Boston, Norwood, and Waltham. Boston anchors demand through its financial district, asset management firms, and major research hospitals, while Cambridge draws heavily from biostatistics and tech companies clustered near MIT and Harvard, and Waltham benefits from the concentration of financial technology and life sciences employers along the Route 128 corridor.
Are there remote quantitative jobs in Massachusetts?
Yes, and more than most fields. About 85% of quantitative openings tied to Massachusetts are remote or hybrid as of November 2026, reflecting the desk-based and analytical nature of the work. Quantitative research, risk modeling, and data science roles are the most likely to be offered on a remote or hybrid basis, while roles that require real-time collaboration on trading floors tend to remain on-site.
How can I get hired as a quantitative in Massachusetts with little or no experience?
The most realistic entry path is applying to quantitative analyst internships or rotational programs at Boston-area asset managers and financial technology firms, where firms like Fidelity Investments and State Street run structured programs for recent graduates. Candidates from adjacent roles in data analysis, actuarial work, or academic research are regularly considered for junior quantitative positions. A strong thesis, published research, or a completed Kaggle-style modeling project helps significantly, and a master's degree in a quantitative field is the credential that most consistently opens doors at the entry level in Massachusetts.
Where can I find and apply to quantitative jobs in Massachusetts?
You can find and apply to quantitative jobs in Massachusetts on Migrate Mate, which lists current openings across the state. Search the listings, find the roles that match your background and goals, and apply directly to the ones that fit.
See All 32 Quantitative Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Quantitative Jobs