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Associate Data Science Analyst Jobs in Cambridge, MA

Associate Data Scientist

Cambridge, MA · On-site

$65K - $65K/yr

Analyze large, complex administrative and program datasets in support of specific research projects ... Bachelor's Degree in Statistics, Data Science, Computer Science, Economics, Econometrics or a ...

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... Apply and advance currently available data mining and advanced analytics to link molecular ...

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... Define and lead analytics and AI strategy using modern methodologies, including LLMs, GenAI ...

Principal Data Scientist - Quantitative Decision Science & Advanced Analytics Note: Fidelity will not provide immigration sponsorship for this position. Are you interested in operating as a senior ...

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Associate Data Science Analyst information

See Cambridge, MA salary details

$37.2K

$90.3K

$148.6K

How much do associate data science analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for associate data science analyst in Cambridge, MA is $90,324.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $106,000.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What are the most commonly searched types of Data Science Analyst jobs in Cambridge, MA? The most popular types of Data Science Analyst jobs in Cambridge, MA are:

Data Science Analyst, Equity Research, Healthcare Team

Wellington Management

Boston, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

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.

JOB TITLE

Data Science Analyst, Equity Research, Healthcare Team

JOB FAMILY

Investment Management (IM)

LOCATION

Boston

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 considers all qualified applicants will receive 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 - 180,000

This 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 salaryis 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.