1

Summer Computer Science Research Assistant Jobs in Massachusetts

Psychology, neuroscience, computer science, engineering, and premed majors are encouraged to apply ... Kota Chin, Research Assistant, Email: kchn11@mgh.harvard.edu Additional Job Details (if applicable)

Research Assistant

Somerville, MA · On-site

$21 - $29.01/hr

SKILLS/ABILITIES/COMPETENCIES REQUIRED : • Psychology, neuroscience, computer science ... Kota Chin, Research Assistant, Email: kchn11@mgh.harvard.edu Additional Job Details (if applicable)

Research Assistant Job Tracking ID: 512937-912266 Job Location: Fall River, MA Job Level ... Moderate computer skills and the ability to work using multiple programs and online databases. Some ...

Research Assistant - Join a Mission-Driven Healthcare Team About Us At SSTAR, we're more than a ... Moderate computer skills and the ability to work using multiple programs and online databases. Some ...

Must have strong computer skills including proficiency in Google Drive/Docs and Microsoft Office ... HOW AND WHERE YOU WILL WORK This role will be remote throughout the summer and if it continues into ...

next page

Showing results 1-20

Summer Computer Science Research Assistant information

What types of projects do Summer Computer Science Research Assistants typically work on, and how much independence can I expect in the role?

Summer Computer Science Research Assistants often contribute to ongoing faculty-led research projects, which may range from developing algorithms and analyzing datasets to building prototypes or conducting experiments in areas like machine learning or human-computer interaction. While you will receive guidance from a supervising researcher or graduate student, you are often encouraged to take initiative, propose ideas, and manage specific project tasks independently. The balance between supervision and independence will depend on the project's complexity, your experience level, and the research group's structure, but most programs aim to provide a supportive environment that fosters both learning and autonomy.

What are Summer Computer Science Research Assistants?

Summer Computer Science Research Assistants are typically undergraduate or graduate students who work with faculty or research teams during the summer months to contribute to ongoing computer science research projects. Their responsibilities may include coding, data analysis, literature reviews, and helping to design or run experiments. This position offers hands-on experience in the research process and exposure to advanced topics in computer science. It is an excellent opportunity for students interested in pursuing graduate studies or careers in research and development. Assistants often gain valuable mentorship and may even co-author publications or present findings.

What is the difference between Summer Computer Science Research Assistant vs Summer Data Science Intern?

AspectSummer Computer Science Research AssistantSummer Data Science Intern
Required CredentialsUndergraduate or graduate in CS or related fieldUndergraduate or graduate in Data Science, Statistics, or related field
Work EnvironmentAcademic or research labs, university settingsCorporate, tech companies, or research organizations
Employer & Industry UsageUniversities, research institutions, government labsTech firms, startups, data-driven companies
Common Search & ComparisonYesNo

The Summer Computer Science Research Assistant typically focuses on academic research projects, often within university labs, emphasizing theoretical and experimental computer science. In contrast, a Summer Data Science Intern usually works on practical data analysis, modeling, and business insights within industry settings. Both roles require strong technical skills, but their environments and objectives differ significantly.

What are the key skills and qualifications needed to thrive as a Summer Computer Science Research Assistant, and why are they important?

To thrive as a Summer Computer Science Research Assistant, you need a solid understanding of programming concepts, data structures, and algorithms, usually supported by coursework or a degree in computer science or a related field. Familiarity with research tools, coding languages like Python or Java, and version control systems such as Git are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with researchers and present findings clearly. These skills are vital to contribute meaningfully to research projects, solve technical problems, and communicate results within a team environment.
What job categories do people searching Summer Computer Science Research Assistant jobs in Massachusetts look for? The top searched job categories for Summer Computer Science Research Assistant jobs in Massachusetts are:
What cities in Massachusetts are hiring for Summer Computer Science Research Assistant jobs? Cities in Massachusetts with the most Summer Computer Science Research Assistant job openings:
Infographic showing various Summer Computer Science Research Assistant job openings in Massachusetts as of July 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Summer. Highlights an 92% In-person, and 8% Remote job distribution.

$21 - $29.01/hr

Full-time

Re-posted 14 days ago


Job description

Site: The General Hospital Corporation


Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.


Job Summary

The Psychiatry Neuroimaging Laboratory is looking to hire a qualified candidate for the position of Research Assistant. The laboratory is part of the Department of Psychiatry at Massachusetts General Hospital. The main mission of this laboratory is to understand brain abnormalities and their role in psychiatric disorders by using state-of-the-art neuroimaging techniques.
If you would like to read more about the laboratory, please visit our website at http://pnl.bwh.harvard.edu


Qualifications

PRINCIPAL DUTIES AND RESPONSIBILITIES:

Please note, the functions below are representative of major duties that are typically associated with these positions. Specific responsibilities may vary based upon departmental needs. Similarly, not all duties that have been outlined will be assigned to each position.

Work closely with others in a collaborative research environment that includes

other Research Assistants, physicians, computer scientists, psychologists,

neuroscientists, and other Principal Investigators on ongoing research studies

involving investigating brain abnormalities in schizophrenia, clinical high risk for

psychosis, traumatic brain injury, and other populations.

Assist in managing and coordinating research studies by entering data, assisting

on data analysis, and being involved in clinical laboratory work such as being

present at MRI scans when subjects are scanned.

Learn to use image processing tools for the pre-processing and analysis of

structural, functional, and diffusion Magnetic Resonance Images (MRI).

Learn to use statistical programs such as SPSS and R to manage participant data and run elementary statistical tests.

Learn to troubleshoot and modify image processing pipelines.

Collect, describe, and help analyze library research materials. Help to prepare and

proof-read scientific manuscripts and grant applications.

Adhere to established MGB and department policies, procedures, and objectives,

and exemplify professionalism and exhibit values that contribute to the goals of the lab and the hospital.

Perform other related research duties as directed or required.

SKILLS/ABILITIES/COMPETENCIES REQUIRED:

Psychology, neuroscience, computer science, engineering, and premed majors are encouraged to apply, but all are welcome.

Prior research or clinical experience is recommended.

Computer programing experience, including experience with Linux/UNIX systems, python/bash scripting, and/or scientific computing software (e.g. MATLAB, Python, R) is preferred but not required.

Applications are being accepted for the position; hiring will take place as soon as

possible. Applicants are expected to give a two-year commitment for the position. This position will provide invaluable experience for those interested in pursuing graduate study in the fields of psychology, medicine, engineering, neuroscience, or computer science.

We request a resume and cover letter outlining your reasons for applying and the

strengths you would bring to the position. If interested, please apply online through this website, and upload a resume and cover letter (as PDFs) in one document.

EDUCATION:

Qualified applicants must have a bachelor's degree, strong organizational skills, and the ability to work well with others on a research team.

EXPERIENCE:

Psychology, neuroscience, computer science, engineering, and premed majors are encouraged to apply, but all are welcome.

Prior research or clinical experience is recommended.

Computer programing experience, including experience with Linux/UNIX systems, python/bash scripting, and/or scientific computing software (e.g. MATLAB, Python, R) is preferred but not required.

If you have further questions, please contact:

Kota Chin, Research Assistant, Email: kchn11@mgh.harvard.edu

Additional Job Details (if applicable)

  • Hearing Constantly (67-100%)


Remote Type

Hybrid


Work Location

399 Revolution Drive


Scheduled Weekly Hours

40


Employee Type

Regular


Work Shift

Day (United States of America)


Pay Range

$21.00 - $29.01/Hourly

Grade

5


At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package.


EEO Statement:

1200 The General Hospital Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.


Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.