Research Intern Jobs in Massachusetts
Research Intern jobs in Massachusetts concentrate in life sciences, biomedical research, public health, and technology, with the state ranking among the most active research intern markets in the country at every level from first-year undergraduates to post-baccalaureate candidates. Most openings are in Boston, Cambridge, and Worcester, where institutions and companies like Massachusetts General Hospital, Broad Institute, and Pfizer's Cambridge operations maintain ongoing intern programs. The most in-demand specialties are computational biology, clinical research coordination, and data analytics. Find a role that fits below and apply directly.
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Showing 5 of 6+ Research Intern jobs
Please complete your application before February 26, 2027.
Applications will be reviewed on a rolling basis and it’s in a candidate’s best interest to apply early.
Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role.
Participation in the internship program requires that you are located in the United States for the duration of the internship program.
This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume.
- Please ensure you’ve listed your anticipated graduation date (in MM/YY)
- In the “Education Section:” attach a current or recent unofficial or official transcript in English.
- Under “Degree Status,” select “Now attending” to upload a transcript.
- Health, dental, vision insurance
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Holidays: 13 paid days per year
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.
Minimum qualifications:
- Currently pursuing a PhD degree in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
- Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
- Experience with data analysis.
- Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).
Preferred qualifications:
- Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
- In their penultimate academic year or returning to a degree program after completion of the internship.
- Ability to draw conclusions from data and recommend actions.
- Ability to take on a leadership role and take initiative.
- Interest in learning new techniques.
About the job
At Google, data drives all of our decision-making. In the Data Scientist - Research role, you will work all across the organization to help shape Google's business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you will mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. You will work with Engineers, Product Managers, Sales Associates, and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $118000 - $157000 (USD) + 0% bonus target
Learn more about benefits at Google.
Responsibilities
- Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, design and assess improvements to Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user products.
Please complete your application before February 26, 2027.
Applications will be reviewed on a rolling basis and it’s in a candidate’s best interest to apply early.
Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven’t heard from us in three months about your application, we likely proceeded with other candidates for the role.
Participation in the internship program requires that you are located in the United States for the duration of the internship program.
This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.
To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the “Apply” button on this page and provide the required materials in the appropriate sections (PDFs preferred):
- In the “Resume Section:” attach an updated CV or resume.
- Please ensure you’ve listed your anticipated graduation date (in MM/YY)
- In the “Education Section:” attach a current or recent unofficial or official transcript in English.
- Under “Degree Status,” select “Now attending” to upload a transcript.
- Health, dental, vision insurance
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Holidays: 13 paid days per year
This role may also be located in our Playa Vista, CA campus.
Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Ann Arbor, MI, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Bellevue, WA, USA; Cambridge, MA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; South San Francisco, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA.
Minimum qualifications:
- Currently pursuing a PhD degree in a quantitative discipline (e.g., statistics, biostatistics, physics, applied mathematics, operations research, economics).
- Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.).
- Experience with data analysis.
- Experience using R or Python and technology to work with datasets such as scripting or statistical software (R, SAS, etc.).
Preferred qualifications:
- Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time.
- In their penultimate academic year or returning to a degree program after completion of the internship.
- Ability to draw conclusions from data and recommend actions.
- Ability to take on a leadership role and take initiative.
- Interest in learning new techniques.
About the job
At Google, data drives all of our decision-making. In the Data Scientist - Research role, you will work all across the organization to help shape Google's business and technical strategies by processing, analyzing, and interpreting huge data sets. Using analytical excellence and statistical methods, you will mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. You will work with Engineers, Product Managers, Sales Associates, and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $118000 - $157000 (USD) + 0% bonus target
Learn more about benefits at Google.
Responsibilities
- Work with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methods. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities, design and assess improvements to Google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Google's user products.
See All 6 Research Intern Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
Find Research Intern JobsResearch Intern Jobs by City in Massachusetts
Where Massachusetts roles are concentrated, by current openings.
Research Intern Job Market in Massachusetts
A snapshot from current Massachusetts openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Massachusetts Employers Look For
The qualifications that appear most often in research intern jobs across Massachusetts.
- Current enrollment in a bachelor's or graduate program at a Massachusetts college or university
- Experience with laboratory techniques such as PCR, cell culture, or data pipelines relevant to the research area
- Familiarity with statistical software such as R, Python, MATLAB, or SPSS for data analysis tasks
- Strong written communication skills for preparing research summaries, protocols, and progress reports
- Ability to work on-site in a laboratory or clinical research environment for required scheduled hours
- Prior coursework or project experience in biology, public health, computer science, or a related field
Research Intern Jobs in Massachusetts: Frequently Asked Questions
How do you become a research intern in Massachusetts?
Most research intern roles in Massachusetts require current enrollment in a degree program at an accredited college or university, with no state-issued license specifically required for the internship itself. Candidates typically apply through their institution's career office or directly to employers in the Boston and Cambridge life sciences corridor. A strong academic record in a relevant discipline, such as biology, chemistry, public health, or computer science, is the primary credential employers look for.
Which companies hire research interns in Massachusetts?
Massachusetts research intern roles are posted by Google, 52Launch, and Aldevron and others right now, based on current listings on Migrate Mate as of September 2026. Massachusetts's dense concentration of teaching hospitals, biotech firms, and university-affiliated research centers means intern openings appear consistently across Cambridge, Boston, and Worcester throughout the academic year.
Which Massachusetts cities have the most research intern jobs?
Boston, Framingham, and Waltham have the most research intern openings in Massachusetts. Boston and Cambridge dominate because of the concentration of world-class teaching hospitals, biotech companies, and universities there, while Worcester's strong presence of research-active institutions like UMass Chan Medical School and biomedical employers drives a meaningful share of openings outside the Greater Boston area.
Are there remote research intern jobs in Massachusetts?
Yes, but they're less common than in purely desk-based fields because much research intern work involves on-site laboratory, clinical, or archival tasks. About 50% of research intern openings tied to Massachusetts are remote or hybrid as of September 2026, reflecting the subset of roles focused on data analysis, literature review, or computational research that can be done off-site.
How can I get hired as a research intern in Massachusetts with little or no experience?
The most realistic entry path is applying through a Massachusetts college or university's career services office, which maintains direct pipelines to local employers. Many Boston-area teaching hospitals, including Mass General Brigham and Beth Israel Deaconess Medical Center, run structured undergraduate research programs designed for candidates without prior lab experience. Volunteering as a research assistant on a faculty project, completing a relevant capstone course, or earning a certification in clinical research fundamentals can also give a candidate a concrete edge when competing for first-time positions.
Where can I find and apply to research intern jobs in Massachusetts?
You can find and apply to research intern jobs in Massachusetts on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your background and target location, and apply directly to each employer without creating a profile or signing up.
See All 6 Research Intern Jobs in Massachusetts
Find roles in Massachusetts that match your experience and apply in just a few clicks.
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