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Computational Research Assistant Jobs in Sudbury, MA

Research Assistant

Boston, MA

$48.61K - $66.84K/yr

About the Opportunity The Research Assistant (Neuroinformatics) in the Computational Optics and Translational Imaging (COTI) Lab at Northeastern University will support NIH-funded projects focused on ...

Research Assistant

Boston, MA · On-site

$48.61K - $66.84K/yr

About the Opportunity The Research Assistant (Neuroinformatics) in the Computational Optics and Translational Imaging (COTI) Lab at Northeastern University will support NIH-funded projects focused on ...

Research Assistant

Boston, MA · On-site

$21 - $28.75/hr

... computational approaches. Research Assistants will be a part of the PiNBAC program. The Harvard ... Program in Neuroscience Post-Baccalaureate (PiNBAC) program is a training program for recent ...

Research Assistant

Boston, MA

$21 - $28.75/hr

... computational approaches. Research Assistants will be a part of the PiNBAC program. The Harvard ... Program in Neuroscience Post-Baccalaureate (PiNBAC) program is a training program for recent ...

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Computational Research Assistant information

See Sudbury, MA salary details

$35K

$50.5K

$66.4K

How much do computational research assistant jobs pay per year?

As of May 28, 2026, the average yearly pay for computational research assistant in Sudbury, MA is $50,466.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $58,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Computational Research Assistant, you need strong analytical skills, proficiency in programming languages like Python or R, and a background in mathematics, statistics, or computer science. Familiarity with data analysis tools, version control systems (such as Git), and experience using high-performance computing environments or relevant software is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate with research teams and interpret complex results. These skills and qualities are crucial for producing accurate, reliable research outcomes and supporting innovative scientific investigations.

How does a Computational Research Assistant typically collaborate with principal investigators and other team members during a research project?

Computational Research Assistants often work closely with principal investigators (PIs), postdoctoral researchers, and other team members to design, implement, and analyze computational experiments. They are responsible for developing scripts, managing datasets, and ensuring the reproducibility of results. Regular meetings and progress updates are common, and assistants are expected to communicate findings clearly and troubleshoot technical issues collaboratively. This role requires both independent initiative and a strong team-oriented approach to meet research objectives efficiently.

What are Computational Research Assistants?

Computational Research Assistants are professionals who support scientific and academic research projects by applying computational methods, programming, and data analysis techniques. They often work with researchers to develop models, run simulations, analyze large datasets, and assist in the interpretation of results. Their work is essential in fields such as biology, physics, social sciences, and engineering, where complex data and computational tools are required to conduct research. Typically, they have strong skills in programming languages like Python, R, or MATLAB, and possess a background in the relevant scientific discipline.

What is the difference between Computational Research Assistant vs Data Analyst?

AspectComputational Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, healthcare, or marketing sectors
Employer & Industry UsageAcademic and research institutions, government agenciesCorporations, consulting firms, government agencies
Common Search & ComparisonYesNo

The Computational Research Assistant and Data Analyst roles share similarities in data handling and analytical skills, but differ mainly in their focus. Computational Research Assistants typically work in research settings, supporting scientific projects with programming and modeling, while Data Analysts focus on interpreting data to inform business decisions. Both roles require strong technical skills and relevant education, but their work environments and primary objectives differ.

What job categories do people searching Computational Research Assistant jobs in Sudbury, MA look for? The top searched job categories for Computational Research Assistant jobs in Sudbury, MA are:
What cities near Sudbury, MA are hiring for Computational Research Assistant jobs? Cities near Sudbury, MA with the most Computational Research Assistant job openings:
Computational Research Scientist/Sr. Scientist

Computational Research Scientist/Sr. Scientist

Mass General Brigham

Cambridge, MA • On-site

$80K - $108K/yr

Full-time

Posted yesterday


Brigham and Women's Hospital rating

8.0

Company rating: 8.0 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

121st of 989 rated hospitals


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
In consultation with their Principal Investigator (PI), undertake and execute a program of scientific study culminating in publication. Drives research projects scientifically and determines the course of research as evidenced by leadership, obtaining funding, writing, or other recognition. May not necessarily receive independent resources; however, their contribution is essential to the conceptual/scientific success of the project. They assist their PI in the training and supervision of other laboratory personnel and in a wide variety of administrative tasks, as necessary.
Does this position require Patient Care? No
Essential Functions
-Makes proficient intellectual contributions to scientific strategies of the group/lab and plays a leadership role by acting as subject matter authority in the field.
-Contributes to the design and execution of experiments and/or research projects.
-Exercises judgment in selecting methods and technologies to obtain results.
-May collaborate with external researchers and/or receive external project funding support.
-Presents results and prepares publications.
-May assist PI in the training and supervision of other staff.
Qualifications
Education
Doctorate Related Field of Study required
Can this role accept experience in lieu of a degree? No
Licenses and Credentials
Experience
Previous Research experience (inclusive of graduate and postdoctoral experience) 5-7 years required
Knowledge, Skills and Abilities
- Excellent research skills.
- Demonstrated evidence of specific scientific competence in field.
- Demonstrated broad knowledge of field.
- Evidence of potential for scientific creativity and original though.
- Able to exercise independent judgment and leadership.
- Ability to contribute to publications.
Additional Job Details (if applicable)
The DeKosky Laboratory for Immune Engineering and Drug Discovery is hiring a postdoctoral researcher to advance computational drug design and discovery, including the use of artificial intelligence (AI) and machine learning (ML) techniques. The hired candidate will focus on computational aspects of immune repertoire analyses of antibody functional screening data. These efforts will advance methods for rapid machine learning-based antibody drug design while developing new and improved antibody drug products.
We are looking for enthusiastic individuals that are curious about computational drug discovery and immunology, and want to participate in the exciting world of diving deeply into understanding how computational data and molecular design
can be applied to discovery new drugs and fight diseases.
The selected candidate will join a dynamic research team at the forefront of antibody engineering. These projects are fully funded by the several organizations, including the US National Institutes of Health and collaborative projects with the Bill and Melinda Gates Foundation, with several ongoing efforts and new projects ready to begin.
Seeking a candidate with an MD or PhD with a minimum of two years of post degree research experience in immunology, biochemistry, biotechnology, bioinformatics, microbiology or a related field.
Preferred Qualifications:
Experience with next generation sequencing (NGS) and bioinformatic analysis, as well as protein display technologies and antibody engineering, is highly desirable. Laboratory research is supported by multiple funding sources, including the NIH, Department of Defense, the Gates Foundation and private industry.
A parallel search is underway for a postdoctoral fellow for candidates who do not yet have at least two years of post degree experience. Interested individuals should contact Dr. DeKosky directly for additional information regarding postdoctoral opportunities.
The salary range for this position is $80,000.00 - $108,000.00 annually. 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.
For more information:
www.dekoskylab.org
Google Scholar: http://scholar.google.com/citations?user=z6TwVlwAAAAJ&hl=en
Remote Type
Onsite
Work Location
600 Main Street
Scheduled Weekly Hours
40
Employee Type
Regular
Work Shift
Day (United States of America)
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.

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