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Associate Data Scientist Jobs in Boston, MA (NOW HIRING)

MarketOnce

Associate Data Analyst

Boston, MA · On-site

$72K - $90K/yr

In this role, you will be working closely with the Sr. Director of Custom Research, various Research Managers, the Director of Marketing Sciences, fellow Data Analysts and various Publishing ...

Partners Capital

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... Science or similar technical subject, or equivalent experience. The candidate will be working ... Preferred: • Understanding common design patterns & data modelling for python application ...

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All JobsAssociate Data Scientist JobsAssociate Data Scientist Jobs in Boston, MA

Associate Data Scientist information

See Boston, MA salary details

$62.5K

$73.9K

$140.1K

How much do associate data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for associate data scientist in Boston, MA is $73,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $64,600.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 86% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $73,914 per year, or $35.5 per hour.

Associate Director, Data Analytics and Technical Solutions

Alkermes

Waltham, MA • Hybrid

$167K - $190K/yr

Full-time

Re-posted 23 days ago

Job description

Reporting to the Director, Data Analytics and Technical Solutions, this position is responsible for designing, maintaining and governing the Technical Solutions' clinical data ecosystem. This position will bridge the gap between complex clinical data sources and actionable business intelligence metrics utilized by Clinical Operations, Data Management and Clinical Programming departments within the Clinical Development Operations organization. 

Why join Team Alkermes?

Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.

We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine. 

Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law.  Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.  Alkermes is an E-Verify employer.

  • Bachelor's degree in a scientific or technical discipline (e.g., Computer Science, Information Systems, Engineering, or related field) required; advanced degree (Master's or MBA) preferred.

  • Demonstrated background in science and/or information technology, with a preference for candidates with a strong technical foundation.

  • PMP certification or equivalent project management credential preferred.

  • Minimum of 8 years of relevant experience, with prior experience in the pharmaceutical or biotechnology industry preferred.

  • Advanced technical expertise in databases, EDC platforms, Snowflake, Tableau, data imports/integrations; Python, SQL and/or SAS programming.

  • Experience supporting or driving data solutions projects or system implementation (i.e., data dashboards, data warehouse, data visualization and/or risk-based data review tools/systems) a plus.

  • Advanced knowledge of GCP/ICH standards, 21 CFR Part 11, CDISC requirements.

  • Demonstrated ability to collaborate effectively across cross-functional teams.

  • Strong interpersonal, organizational, and prioritization skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.

  • Proven analytical and problem-solving skills, with the ability to translate business needs into technical solutions.

  • Ability to communicate complex technical concepts and data insights clearly to both technical and non-technical stakeholders. 

Alkermes has recently adopted a hybrid working environment to support and meet the needs of employees and this role will operate in a flexible environment with 60% of time in the office and 40% from home. This position is eligible for the hybrid workplace model, requiring work to be completed onsite at our Waltham, MA office at least 3 days per week. This role is not eligible for fully remote work. 

The annual base salary for this position ranges from $167,000 to $190,000. In addition, this position is eligible for an annual performance pay bonus.  Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package.  Additional details can be found on our careers website: www.alkermes.com/careers#working-here  
#LI-MB1
 

  • Support the Clinical Operation data strategy / development initiatives including systems and technology integration, data collection and data storage into Alkermes Data Lake. 

  • Lead and/or support other clinical data technology-based data collection initiatives including but not limited to EDC, IxRS, and ePRO/eCOA.

  • Responsible for developing Data Models, Data Flow and Data Governance & Standards processes utilizing industry standards like CDISC.

  • Collaborate closely with the Data Analytic teams to build robust data models in Snowflake to support clinical analytics. 

  • Support CDO leaders and other functional leaders to ensure data collection effectiveness and efficiencies from systems and technology platforms.

  • Collaborate closely with clinical development operations teams to triage Study or Program level data collection issues, risks and performance with business data collection processes, systems and/or technology. 

  • Support clinical data review, analytics and RBM solutions including data visualization and mining using contemporary or industry best practice tools.

  • Champion efficient industry best practices; promote technical innovation.

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