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Computer Scientist Jobs in Newton, MA (NOW HIRING)

Harvard University

Imaging Scientist

Cambridge, MA · On-site

$57/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Faculty of Arts and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard's undergraduate program (Harvard College, founded in 1636) as well as all of Harvard's Ph.

Harvard University

Imaging Scientist

Cambridge, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Faculty of Arts and Sciences (FAS) is the historic heart of Harvard University. It is the home of Harvard's undergraduate program (Harvard College, founded in 1636) as well as all of Harvard's Ph.

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

  • Medical

This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage ...

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Showing results 21-40

All JobsComputer Scientist JobsComputer Scientist Jobs in Newton, MA

Computer Scientist information

See Newton, MA salary details

$55.4K

$122.1K

$150.8K

How much do computer scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for computer scientist in Newton, MA is $122,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $150,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a strong background in mathematics, programming, and algorithm design, usually supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, C++), development tools, and version control systems is typically required, along with knowledge of specialized software or frameworks relevant to your area. Analytical thinking, problem-solving, and effective communication are crucial soft skills that help you collaborate and present complex ideas clearly. These skills and qualifications are important for developing innovative solutions, advancing technology, and working efficiently in multidisciplinary teams.

What is a computer scientist?

Computer scientists are professionals who study the theory, design, development, and application of computer systems and software. They work on solving complex problems using algorithms, programming languages, and computational methods. Their work can range from developing new technologies, improving cybersecurity, creating software, to researching artificial intelligence and machine learning. Computer scientists are employed in various industries, including tech companies, research institutions, government agencies, and academia.

What does a computer scientist do?

Computer scientists solve problems using technology. They write and program software, create applications for mobile devices, and develop websites. Their primary objectives are to validate and to develop mathematical models capable of computer interaction between people and other computers. They do this by running computer programs and improving computer processes and performance. Beyond working within theoretical frameworks, computer scientists can also research and focus in areas such as data structure and algorithms, information and database theory, software engineering, numerical analysis, computational complexity theory, computer graphics, programming language theory, and computer vision.

How do computer scientists typically collaborate with other departments within an organization?

Computer scientists often work closely with teams from engineering, product management, data analytics, and IT to design, implement, and optimize technological solutions. Collaboration may involve participating in cross-functional meetings, providing technical expertise to inform business decisions, and integrating software systems with other platforms. Effective communication and teamwork are key, as computer scientists must translate complex technical concepts into actionable insights for non-technical colleagues. This collaborative environment not only broadens your professional network but also enhances your problem-solving skills through exposure to diverse perspectives.

What is the difference between Computer Scientist vs Software Engineer?

AspectComputer ScientistSoftware Engineer
Required CredentialsBachelor's or higher in CS or related field; often advanced degreesBachelor's or higher in CS, Software Engineering, or related field
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, software development firms, IT departments
Employer & Industry UsageUniversities, research institutions, tech companiesSoftware development companies, startups, large corporations
Common Search & Comparison IntentUnderstanding roles, career paths, and skillsJob requirements, responsibilities, and career growth

Computer Scientists focus on theoretical foundations, algorithms, and research, often working in academia or R&D. Software Engineers design, develop, and maintain software applications in industry settings. While both roles require strong programming skills and a background in computer science, their work environments and primary objectives differ.

More about Computer Scientist jobs

What job categories do people searching Computer Scientist jobs in Newton, MA look for?

The top searched job categories for Computer Scientist jobs in Newton, MA are:

What cities near Newton, MA are hiring for Computer Scientist jobs?

Cities near Newton, MA with the most Computer Scientist job openings:

Computer Scientist jobs near you
Infographic showing various Computer Scientist job openings in Newton, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,136 per year, or $58.7 per hour.

Scientist II/Senior Scientist, Computational Chemistry, Drug Discovery

Lila Sciences

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life

Posted 11 days ago

Job description

Your Impact at LILA
Lila Sciences is seeking a Scientist, Computational Chemistry, Drug Discovery to help guide, evaluate, and improve AI-driven drug discovery workflows. This person will bring practical computational chemistry experience in a drug discovery context and will work alongside AI systems to make sure agent-generated optimization plans, compound prioritizations, and modeling workflows are chemically and scientifically sensible. The primary mandate is to make agent-guided discovery scientifically useful, while also contributing directly to live drug discovery programs when human computational chemistry leadership is needed.
This is a role for someone who can look at an agent-driven drug optimization rollout and answer hard questions: Does this plan make sense? Are the right compounds being prioritized? Are the right modeling tools being used? What additional tools, constraints, or review steps should be built so agents can make better discovery decisions? When needed, this person can also step into an active discovery effort and lead the computational chemistry strategy for pursuing a drug program. The role spans docking, virtual screening, SAR modeling, molecular property prediction, compound prioritization, medicinal chemistry support, live program support, and, most centrally, the design and supervision of computational chemistry tools for agentic workflows.
What You'll Be Building
  • Monitor and review drug discovery agents' computational chemistry workflows, recommendations, and optimization plans for scientific and chemical validity.
  • Evaluate agent-generated drug discovery plans that combine chemistry, biophysics, cofolding, simulation, assay, and low-data model outputs, and determine whether the resulting optimization strategy is scientifically coherent.
  • Advise on compound prioritization across discovery programs, including tradeoffs between potency, selectivity, developability, uncertainty, and experimental feasibility.
  • Define which computational chemistry tools agents should use, when they should use them, what inputs are required, and how outputs should be interpreted.
  • Lead computational chemistry strategy for live drug discovery programs when needed, including hypothesis generation, modeling plans, compound prioritization, and interpretation of results.
  • Build, adapt, or guide the creation of open-source-first workflows for docking, virtual screening, SAR analysis, conformer generation, pharmacophore modeling, QSAR, ADMET and property modeling, and cheminformatics.
  • Apply protein-ligand binding modeling to support hypothesis generation, compound design, and prioritization.
  • Partner with medicinal chemists, biologists, computational biophysicists, cofolding and low-data ML scientists, and research engineers to improve AI-assisted discovery loops.
  • Evaluate agent-generated molecular design ideas and identify when proposed chemistry, binding hypotheses, or optimization strategies are weak or unsupported.
  • Help establish validation standards, review protocols, and guardrails for computational chemistry tools used by AI systems.
  • Translate computational chemistry judgment into practical requirements for agent tools, workflows, benchmarks, and decision criteria.

What You'll Need to Succeed
  • PhD or equivalent experience in computational chemistry, chemistry, cheminformatics, molecular modeling, biophysics, or a related field.
  • Strong practical experience applying computational chemistry in a drug discovery context, including active program support or leadership.
  • Demonstrated history of modeling protein-ligand binding and using those models to inform discovery decisions.
  • Working knowledge across docking, virtual screening, SAR modeling, conformer generation, pharmacophore modeling, QSAR, ADMET or property prediction, and cheminformatics.
  • Strong medicinal chemistry experience and the ability to reason about compound optimization, SAR, developability, and synthetic or experimental tradeoffs.
  • Fluency in Python and hands-on experience building open-source computational chemistry workflows with libraries such as RDKit, Biopython, OpenMM, MDAnalysis, or comparable tools.
  • Ability to evaluate computational recommendations critically and communicate uncertainty, assumptions, and limitations clearly.
  • Comfort working alongside AI systems, including reviewing, guiding, and improving agent-generated plans rather than only executing human-authored workflows.
  • Strong collaboration skills across chemistry, biology, ML, computational science, and engineering teams.

Bonus Points For
  • Industry drug discovery experience, especially in computational chemistry, structure-based discovery, or medicinal chemistry project support.
  • Experience extending, integrating, or contributing to open-source scientific software.
  • Experience with FEP, MM/GBSA, molecular dynamics, or other physics-based scoring workflows.
  • Experience integrating computational chemistry workflows into automated or agentic systems.
  • Exposure to DEL, high-throughput screening, or other large experimental datasets.
  • Experience with prospective compound prioritization in active discovery programs.

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
$140,800-$217,800 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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