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Data Science Associate Jobs in Burlington, MA (NOW HIRING)

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

MSD

Associate Director, AI/ML Engineering

Cambridge, MA · On-site

$64K - $65K/yr

As Associate Director, AI/ML Engineering, you will build state-of-the-art AI/ML tools and pipelines ... Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists * Stay ...

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All JobsData Science Associate JobsData Science Associate Jobs in Burlington, MA

Data Science Associate information

See Burlington, MA salary details

$62.6K

$74K

$140.4K

How much do data science associate jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science associate in Burlington, MA is $74,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $64,700.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData 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; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What job categories do people searching Data Science Associate jobs in Burlington, MA look for?

The top searched job categories for Data Science Associate jobs in Burlington, MA are:

What cities near Burlington, MA are hiring for Data Science Associate jobs?

Cities near Burlington, MA with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Burlington, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,035 per year, or $35.6 per hour.

Data Scientist

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description

The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding biological datasets to address national security needs. The Group's efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation's efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance.

Position Description

Associate Staff - Data Scientist

The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding biological datasets to address national security needs. The Group's efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation's efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance.

The BioAnalytics Systems and Technologies Group is looking for a candidate to join a multi-disciplinary team engaged in developing and applying new AI models for a broad set of applications: chemical and biological detection from wearable sensors, predicting causality markers for diseases, developing foundation models, and using GenAI models for a broad range of biomedical and clinical applications.  The position will involve leading the development of AI/ML models, data curation, planning and conducting field data collections, leading small programs, collaborating with other scientists and engineers, and communicating results both in written and oral form.

Job Requirements
  • Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor's degree with 3 to 5 years of directly related experience will be considered.
  • Experience with AI development including applying large language models (LLMs) for retrieval-augmented generation (RAG) for biomedical problems.
  • Experience in developing data pipelines from harmonizing, curating and aggregating data. Familiarity with molecular, physiological and/or clinical data a plus
  • Ability to work collaboratively and lead highly interdisciplinary teams.
  • Demonstrated skills in scientific writing, as well as development and clear presentation of technical materials to a wide spectrum of technical and non-technical audiences a plus
  • Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic), proteomics, and chemical data using open-source and custom tools is highly desirable
  • This role is onsite only

Recent Graduate Hiring Range:$116,400 - $140,000 

Experienced Hiring Range: $116,400 - $182,200 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. 

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans 

  • MIT-funded pension 

  • Matching 401K 

  • Paid leave (including vacation, sick, parental, military, etc.) 

  • Tuition reimbursement and continuing education programs 

  • Mentorship programs 

  • A range of work-life balance options 

  • ... and much more! 

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage ofother voluntary benefits, discounts and perks. 

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. 

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. 

Requisition ID: 42283 

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