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Computer Science Related Jobs in Boston, MA (NOW HIRING)

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Senior Scientist, Data Science - Hybrid

Boston, MA

$106K - $132K/yr

A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field * years of hands-on experience in developing and deploying optimization solutions * 5+ years' experience in ...

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Computer Science Related information

See Boston, MA salary details

$61.4K

$90.3K

$106.5K

How much do computer science related jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science related in Boston, MA is $90,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,200.00 and $101,600.00 per year, depending on experience, location, and employer.

What are computer science jobs?

Computer science jobs refer to a variety of careers that involve designing, developing, and maintaining computer systems, software, and networks. These roles can include software developers, data scientists, cybersecurity analysts, system administrators, and more. Professionals in this field use their knowledge of programming, algorithms, and technology to solve problems, improve systems, and innovate new solutions. The field is constantly evolving, offering strong job prospects and opportunities for specialization.

What is the difference between Computer Science Related vs Software Developer?

AspectComputer Science RelatedSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; certifications like CS50, Cisco, or MicrosoftBachelor's in Computer Science, Software Engineering, or related; certifications like Microsoft Certified, AWS Developer
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, startups, freelance projects
Employer & Industry UsageUniversities, research institutions, tech firmsSoftware companies, IT departments, app development firms
Common Search & ComparisonYesNo

Computer Science Related roles encompass a broad range of positions involving theoretical and practical aspects of computing, including research, algorithms, and systems. Software Developers focus specifically on designing, coding, and maintaining software applications. While both share similar credentials and work environments, Computer Science Related roles often involve research and academic work, whereas Software Developers are more application-focused.

What are the key skills and qualifications needed to thrive in a computer science-related role, and why are they important?

To thrive in a computer science-related role, you generally need strong programming abilities, problem-solving skills, and a solid understanding of algorithms and data structures, often backed by a degree in computer science or a related field. Familiarity with coding languages such as Python, Java, or C++, and experience with tools like Git, databases, and cloud platforms are typically expected. Excellent analytical thinking, teamwork, and communication skills help you stand out by enabling effective project collaboration and solution-driven innovation. These competencies are essential for developing reliable software, optimizing systems, and contributing to dynamic technical teams.

What are some common challenges faced by professionals in computer science roles, and how can they be addressed?

Professionals in computer science often encounter challenges such as keeping up with rapidly evolving technologies, debugging complex code, and collaborating across multidisciplinary teams. Staying current through continuous learning—such as online courses or technical workshops—can help address knowledge gaps. Additionally, effective communication and utilizing collaborative tools can streamline teamwork, while developing strong problem-solving skills aids in troubleshooting and resolving technical issues efficiently.
Computer Science Related jobs near you
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Lar...

Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Lar...

Harvard University

Cambridge, MA • On-site

$67K - $91K/yr

Full-time

Posted 8 days ago

Harvard University rating

8.1

Company rating: 8.1 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 535 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Fellow in Computer Science - From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post-Training
School
Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area
Kempner Institute and Computer Science
Position Description
We invite applications for a Postdoctoral Fellow to work with Assistant Professor Kianté Brantley at Harvard SEAS and the Kempner Institute. The lab's research focuses on improving the capabilities of foundation models using reinforcement learning-from theory to practice. This position will emphasize large-scale reinforcement learning for post-training, studying both practical and theoretical issues pertaining to post-training techniques.
Successful candidates must be able to work as part of a team performing research to support the project. Additional responsibilities include preparing publications and reports, mentoring graduate students, and collaborating with other groups. Successful candidates will be self-motivated, have a strong work ethic, be technically skilled, and have strong oral and written skills. Start dates are flexible, but the positions will be filled as soon as possible and will initially be for one year, renewable for additional years following performance review and funding availability.
Basic Qualifications
Ph.D. in computer science, applied physics, applied math, or a related discipline.
Additional Qualifications
Individuals with a demonstrated track record in scientific research, which can be evidenced through publications, technical reports, or impactful software projects.
Special Instructions
A complete application must include a curriculum vitae, 2-5 letters of reference, 2 publication samples, and a 1-2-page research statement. In your cover letter, please also address the following supplemental questions: (1) What sorts of projects would you like to carry out in the lab? (2) What are your greatest strengths, and what areas would you like to improve?
Contact Information
Anana Charles, Faculty Coordinator
Contact Email
acharles@seas.harvard.edu
Salary Range
$67,600 - $91,826
Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
Machine Learning
Reinforcement Learning
Foundational Models
Post-Training
Large Language Models

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