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Phd Computer Science Jobs in Massachusetts (NOW HIRING)

Lila Sciences

Co-Op, Data Extraction

Cambridge, MA · On-site

Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field * Solid foundation in machine learning fundamentals and Python * Familiarity with NLP or ...

MedSchoolCoach

Research Mentor

Boston, MA · On-site +1

$75 - $100/hr

With the guidance of experienced PhD mentors, students develop critical research skills, strengthen ... Medical/Biological Sciences Physics, Chemistry Computer Science, AI Environmental Sciences ...

MedSchoolCoach

Research Mentor

Boston, MA · On-site +1

$75 - $100/hr

... the scientific process. We are seeking dedicated PhD mentors to provide one-on-one support to ... Medical/Biological Sciences ⚛ Physics, Chemistry Computer Science, AI Environmental Sciences ...

STR

Senior Tracking Scientist

Woburn, MA · On-site

$139K - $165K/yr

... computer science, mathematics, physics, and data science. We use our expertise and creativity to ... and/or PhD (or equivalent experience) in a scientific field such as applied math, physics ...

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Phd Computer Science information

See Massachusetts salary details

$61.7K

$90.8K

$107K

How much do phd computer science jobs pay per year?

As of Aug 23, 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 August 2026, with employment types broken down into 8% Internship, 80% Full Time, 4% Part Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $90,765 per year, or $43.6 per hour.

Principal Scientist / Associate Director, Agentic AI Research for Materials Science

Lila Sciences

Cambridge, MA • On-site

$288K - $420K/yr

Full-time

Medical, Dental, Vision, Life

Re-posted 14 days ago

Job description

Your Impact at LILA
Own the technical direction for agentic AI systems applied to materials science at Lila. You will set and execute the roadmap for autonomous agents that plan, run, and interpret materials experiments, based on understanding of internal knowledge and state-of-the-art research work in public literature. Your work shifts materials research from human-paced iteration to machine-paced experimentation through scientific reasoning and understanding.
This is a player-coach role on the PS AI team. You will lead a small group of scientists and engineers, set the bar for scientific rigor and engineering quality, and partner with diverse teams so that agentic systems land on real programs. You will own the trade-offs between research ambition and production reliability, and represent the agentic-AI direction to technical leadership.
The work spans foundational research and applied delivery. You will publish where the science merits it, ship systems that materials teams depend on, and shape how Lila scales agentic capabilities across its materials portfolio.
What You'll Be Building
  • Roadmap and direction. Define and execute the agentic AI roadmap for materials science, including agentic frameworks and retrieval-augmented generation for understanding multi-modal research data from research literature and other data sources.
  • Agent system architecture. Lead the design of agentic frameworks grounded in fundamental scientific understanding and the state of the art, and deliver end-to-end systems on real-world projects.
  • Team leadership. Hire, mentor, and grow a small cross-functional team of scientists and engineers; set the bar for scientific rigor, code quality, and reproducibility.
  • Cross-team partnership. Partner with diverse teams at Lila to push the state of the art and deliver systems that integrate with experimental infrastructure and land on real programs.
  • Research currency and external voice. Track state-of-the-art in agentic AI, scientific ML, data extraction, and reasoning models; translate external advances into internal direction, and publish or present where the science merits it.

What You'll Need to Succeed
  • PhD in Computer Science, Machine Learning, Materials Science, Chemistry, Physics, or a related field, with 5+ years of post-PhD research and applied ML experience.
  • Track record of building and shipping agentic systems, ML pipelines, or autonomous research workflows that delivered measurable scientific or product impact.
  • Deep expertise across modern ML, NLP, and reasoning: LLMs, agentic frameworks, tool use, planning, data extraction, and multi-modal data.
  • Working knowledge of materials science, computational chemistry, or condensed-matter physics sufficient to ground agent behavior in real scientific constraints.
  • Proficiency in Python and the ML software stack, with strong engineering habits around reproducibility, testing, and production deployment.
  • Experience leading scientists and engineers: setting technical direction, hiring, mentoring, and developing team members.
  • Clear written and verbal communication; able to translate between research, engineering, and program stakeholders.

Bonus Points For
  • Publications, patents, or open-source contributions in agentic AI, scientific ML, or autonomous research systems.
  • Experience integrating agents with real-world materials science tasks and familiarity with materials data representations and ontologies.
  • Production experience with workflow orchestration and distributed compute on cloud or HPC.
  • Community recognition: invited talks, conference organizing, or community leadership in agentic AI or scientific AI.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$288,000-$420,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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