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Data Science Jobs in Harvard, MA (NOW HIRING)

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

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 ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

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 ...

STR

Senior Data Scientist (CLEARANCE REQUIRED)

Woburn, MA · On-site

$139K - $165K/yr

Experience with standard data science tools such as scikit-learn, Pandas, and Matplotlib * Proficiency in one or more programming languages: Python, C/C++ * Able to work and collaborate on multi ...

UKG, Inc.

Sr. Staff Data Scientist- Eng

Lowell, MA · On-site

Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.

UKG, Inc.

Principal Data Scientist- Eng

Lowell, MA · On-site

Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day.

Xometry

Senior Data Scientist, Costing

Waltham, MA · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write software to prepare, clean, and sample data for use in developing predictive models * Use cloud ...

Socket.dev

Staff Data Scientist

Wilmington, MA · On-site

$149 - $204.60/hr

This is a highly cross‑functional position spanning data science, robotics, operations research, and distributed systems, where your work will directly impact efficiency, throughput, and ...

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All JobsData Science JobsData Science Jobs in Harvard, MA

Data Science information

See Harvard, MA salary details

$38.2K

$125.2K

$200.4K

How much do data science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science in Harvard, MA is $125,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,400.00 and $138,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Harvard, MA? For Data Science jobs in Harvard, MA, the most frequently searched job titles are:
What cities near Harvard, MA are hiring for Data Science jobs? Cities near Harvard, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Harvard, MA as of August 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $125,162 per year, or $60.2 per hour.

Data Scientist

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 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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