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Phd Computer Science Jobs in Massachusetts (NOW HIRING)

MSD

Senior Specialist, Data Science

Cambridge, MA · Hybrid

$129K - $203K/yr

Bachelor's degree in mathematics, statistics, data science, computer science, or related field * Advanced degree (PhD or Master's + 3+ years industry experience) preferred * Hands-on experience with ...

Merck & Co.

$129K - $203K/yr

S. and Prague to deliver scalable solutions Required Experience & Skills Bachelor's degree in mathematics, statistics, data science, computer science, or related field Advanced degree (PhD or Master ...

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How much do phd computer science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for phd computer science in Massachusetts is $90,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $102,100.00 per year, depending on experience, location, and employer.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What are popular job titles related to Phd Computer Science jobs in Massachusetts?

For Phd Computer Science jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Massachusetts look for?

The top searched job categories for Phd Computer Science jobs in Massachusetts are:

What cities in Massachusetts are hiring for Phd Computer Science jobs?

Cities in Massachusetts with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Massachusetts as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 10% Part Time, 4% Contract, and 1% Nights. Highlights an 72% Physical, 1% Hybrid, and 27% Remote job distribution, with an average salary of $90,765 per year, or $43.6 per hour.

Quantum Scientist - FTQC Education

Boston, MA • On-site

QuEra Computing, Inc.
Scientific Research and Development Services • 11 - 50 employees
Learn more about QuEra Computing, Inc.external

$130K - $211K/yr

Full-time

Posted 23 days ago

Job description

Summary
QuEra Computing is seeking a mission-driven Quantum Scientist focused on designing and delivering specialized educational engagement and training. You'll use your expertise in quantum error correction (QEC) and your pedagogical skill to create learning experiences that enable users on our existing and upcoming neutral-atom quantum systems as they transition from NISQ workflows into the fault-tolerant (FTQC) era. Deliverables can take many forms but include lessons, tutorials, quizzes, hackathon challenges, and presentations tailored to users across industry, academia, and national labs. This is a role for a motivated Quantum Scientist who is also passionate about educational outreach and enablement of technical audiences.
Some travel may be required for workshops, conferences, and hackathons.
Responsibilities
  • Deliver education, both internally and externally, of novel research results and methods in QEC and fault-tolerance.
  • Design, author, and maintain structured and hands-on learning materials (courses, tutorials, notebooks, problem sets, quizzes, and challenge tracks) aligned with Bloqade and neutral-atom hardware capabilities.
  • Produce clear, accurate technical presentations and demos for customers, partners, conferences, and hackathons; deliver live and online instructions.
  • Collaborate with product, research, and solutions teams to ensure contents reflect the latest features, APIs, and hardware constraints.
  • Translate new R&D into learner pathways; define objectives and assessments; use learner data and feedback to iterate and improve.
  • Drive customer/partner enablement and community programs (hackathons, forums, workshops) and expand documentation to lower adoption barriers.

Qualifications
  • Advanced experience in Physics, Computer Science, Electrical Engineering, or a related field (PhD or MSc/BSc with equivalent experience).
  • Strong foundation in quantum information/science and comfort spanning algorithmic building blocks, software tooling, data analysis, and hardware limitations.
  • Experience executing quantum algorithms on real quantum systems, and adapting quantum circuits to the constraints of these real systems.
  • Familiarity with quantum error correction, including implementation of quantum algorithms in an error-corrected setting.
  • Experience creating technical education materials or teaching (tutorials, workshops, developer content), coupled with a demonstrated interest in research-informed, advanced pedagogy and experience deploying technical education materials into online platforms.
  • Excellent written and verbal communication skills; ability to explain complex topics to diverse audiences.
  • Collaborative mindset and the discipline to deliver high-quality content independently.

Preferred Qualifications
  • Demonstrated track record of QEC and FTQC research including through scientific publications and presentations.
  • Familiarity with neutral-atom quantum computing platforms.
  • Experience with Bloqade or other QIS tooling for scientific computing.
  • Track record running hackathons and building developer communities.
  • Comfort with data analysis to evaluate learning outcomes and improve curricula.

The approximate base salary range for this position is $130,400 - $211,900.
We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.
QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.
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