Data Science Lead Jobs in Boston, MA
Data Science Lead jobs in Boston are concentrated in the Longwood Medical Area, the Seaport District, and Kendall Square-adjacent neighborhoods across life sciences, financial services, and technology. Employers actively hiring include ActBlue, Klaviyo, and CarGurus. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 25+ Data Science Lead jobs
About Us
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
About the Role
THE POSITION
We are looking for a Data Science Analyst (Science Analyst) to join the Healthcare team within Global Investment Research. With over $100B invested in healthcare, across over 50 Portfolio Managers, this represents a flagship franchise for Wellington. The Healthcare team invests globally across the full healthcare continuum, including Biopharma, Healthcare Services and Medical Technology. The Healthcare team includes over 10 colleagues.
The Science Analyst will work as an integral team member alongside Global Industry Analysts and Portfolio Managers, helping identify where data science, AI and alternative data can create differentiated investment insight across the healthcare sector (MedTech, Pharmaceuticals, Biotech, Healthcare Services). The ideal candidate brings hands-on experience in an investment setting, strong Python, SQL and AI skills, sound judgment for turning messy inputs into outputs the team can act on, and a genuine interest in the healthcare sector and the companies operating within it. They should be comfortable working independently, setting their own priorities, and moving fluidly between deep dataset work and quick-turnaround requests.
RESPONSIBILITIES
Responsibilities for this position will include the following:
- Work as an integral part of the Healthcare team, partnering directly with Global Industry Analysts and Portfolio Managers.
- Translate broad investment questions into testable data science workflows and analytical outputs.
- Apply AI and agentic tools to streamline research workflows and contribute directly to investment idea generation.
- Communicate results clearly, including limitations, confidence levels, and interpretation risk.
- Serve as an experienced data science resource across the Healthcare team's coverage areas.
- Rapidly get up to speed on new companies, sub-sectors, datasets, and business models as the need arises.
- Assess and sequence incoming requests based on expected investment impact, feasibility, and how repeatable the resulting work would be.
- Develop differentiated signals and analytical frameworks from alternative and structured datasets relevant to healthcare investing.
- Evaluate dataset quality, coverage, bias, and signal durability.
- Build repeatable tools, screens, and research outputs that can be used across companies and themes within the sector.
- Partner with Data Engineering to productionize high-value signals where appropriate.
QUALIFICATIONS
Ideal candidates will have:
- 3-5+ years of experience in data science, alternative data, investment research, healthcare analytics, or a related analytical role.
- Prior experience working with investment teams, research teams, or senior business stakeholders.
- Strong Python and SQL skills.
- Comfort with AI/LLM tooling and agentic workflows, and the ability to apply them to streamline the research process and support idea generation.
- Experience working with large, messy, real-world datasets.
- Hands-on experience with a variety of alternative datasets, including a track record of sourcing and evaluating new or emerging data, not just working with what's already established.
- Strong ability to evaluate dataset quality, bias, representativeness, and signal robustness.
- Genuine investment acumen and curiosity about markets, companies, and how data translates into an investment thesis — not just a technical interest in the data itself.
- Ability to translate ambiguous investment or business questions into concrete analyses.
- Strong communication skills and ability to present nuanced findings to senior stakeholders.
- High judgment and comfort operating independently in ambiguous environments.
LOCATION
The Data Science Analyst will ideally be based in Wellington’s Global Headquarters in Boston, MA. Location in the New York, NY office will also selectively be considered.
Not sure you meet 100% of our qualifications? That’s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:
USD 90,000 - 180,000This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
Base salary is only one component of Wellington’s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.
About Us
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.
About the Role
THE POSITION
We are looking for a Data Science Analyst (Science Analyst) to join the Healthcare team within Global Investment Research. With over $100B invested in healthcare, across over 50 Portfolio Managers, this represents a flagship franchise for Wellington. The Healthcare team invests globally across the full healthcare continuum, including Biopharma, Healthcare Services and Medical Technology. The Healthcare team includes over 10 colleagues.
The Science Analyst will work as an integral team member alongside Global Industry Analysts and Portfolio Managers, helping identify where data science, AI and alternative data can create differentiated investment insight across the healthcare sector (MedTech, Pharmaceuticals, Biotech, Healthcare Services). The ideal candidate brings hands-on experience in an investment setting, strong Python, SQL and AI skills, sound judgment for turning messy inputs into outputs the team can act on, and a genuine interest in the healthcare sector and the companies operating within it. They should be comfortable working independently, setting their own priorities, and moving fluidly between deep dataset work and quick-turnaround requests.
RESPONSIBILITIES
Responsibilities for this position will include the following:
- Work as an integral part of the Healthcare team, partnering directly with Global Industry Analysts and Portfolio Managers.
- Translate broad investment questions into testable data science workflows and analytical outputs.
- Apply AI and agentic tools to streamline research workflows and contribute directly to investment idea generation.
- Communicate results clearly, including limitations, confidence levels, and interpretation risk.
- Serve as an experienced data science resource across the Healthcare team's coverage areas.
- Rapidly get up to speed on new companies, sub-sectors, datasets, and business models as the need arises.
- Assess and sequence incoming requests based on expected investment impact, feasibility, and how repeatable the resulting work would be.
- Develop differentiated signals and analytical frameworks from alternative and structured datasets relevant to healthcare investing.
- Evaluate dataset quality, coverage, bias, and signal durability.
- Build repeatable tools, screens, and research outputs that can be used across companies and themes within the sector.
- Partner with Data Engineering to productionize high-value signals where appropriate.
QUALIFICATIONS
Ideal candidates will have:
- 3-5+ years of experience in data science, alternative data, investment research, healthcare analytics, or a related analytical role.
- Prior experience working with investment teams, research teams, or senior business stakeholders.
- Strong Python and SQL skills.
- Comfort with AI/LLM tooling and agentic workflows, and the ability to apply them to streamline the research process and support idea generation.
- Experience working with large, messy, real-world datasets.
- Hands-on experience with a variety of alternative datasets, including a track record of sourcing and evaluating new or emerging data, not just working with what's already established.
- Strong ability to evaluate dataset quality, bias, representativeness, and signal robustness.
- Genuine investment acumen and curiosity about markets, companies, and how data translates into an investment thesis — not just a technical interest in the data itself.
- Ability to translate ambiguous investment or business questions into concrete analyses.
- Strong communication skills and ability to present nuanced findings to senior stakeholders.
- High judgment and comfort operating independently in ambiguous environments.
LOCATION
The Data Science Analyst will ideally be based in Wellington’s Global Headquarters in Boston, MA. Location in the New York, NY office will also selectively be considered.
Not sure you meet 100% of our qualifications? That’s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:
USD 90,000 - 180,000This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
Base salary is only one component of Wellington’s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.
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Find Data Science Lead JobsData Science Lead Job Market in Boston
Who's Hiring
Top Industries Hiring
- Fintech
- Biotechnology & Pharmaceuticals
- Consulting & Professional Services
Data Science Lead Jobs in Boston: Frequently Asked Questions
How do I get a data science lead job in Boston?
Target Boston's three strongest hiring pockets: the Seaport and downtown financial district for fintech and asset management roles, Longwood and the Fenway corridor for life sciences and healthcare analytics, and Kendall Square-adjacent tech firms for platform and product analytics. Candidates with experience leading a team of data scientists and translating model outputs into business decisions stand out in this market. Python, machine learning, and stakeholder communication are consistently prioritized across all three sectors.
Which companies hire data science leads in Boston?
Employers hiring data science leads in Boston right now include ActBlue, Klaviyo, and CarGurus, based on current listings on Migrate Mate as of August 2026. Boston's hiring mix skews toward biotech and pharma companies, established financial services firms, and mid-size tech companies that have grown headcount in the Seaport and Innovation District over the past several years.
Are there remote data science lead jobs in Boston?
Yes, though many lead roles require enough in-person collaboration that fully remote positions are less common than for individual contributor data science work. About 100% of data science lead openings tied to Boston are remote or hybrid as of August 2026, reflecting how widely employers have adopted flexible arrangements. Strategic planning, stakeholder reporting, and model review work tends to be most amenable to remote days, while team sprint cycles and cross-functional launches often require on-site presence.
How can I get a data science lead job in Boston with little or no experience?
The most realistic entry path is building a record as a senior individual contributor at a Boston employer before stepping into a lead title. Biotech and pharma companies in the Longwood corridor and Kendall Square area frequently hire senior data scientists who take on informal mentoring and project ownership before formal promotion. Entry points also include analytics engineering and machine learning engineer roles at Boston-area tech firms, where cross-functional exposure accelerates the move into a lead position.
Which industries hire the most data science leads in Boston?
The sectors hiring the most data science leads in Boston are Fintech, Biotechnology & Pharmaceuticals, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. Boston's concentration of research hospitals, biotech companies, and investment management firms creates unusually deep and consistent demand for leads who can manage both technical pipelines and clinical or financial stakeholder relationships.
Related Jobs in Massachusetts
See All 25 Data Science Lead Jobs in Boston
Find roles in Boston that match your experience and apply in just a few clicks.
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