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Full Time Research Computing Jobs in Massachusetts

Harvard University

Research Assistant I Lab

Cambridge, MA · On-site

$52/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Summary: Full-time Research Assistant (RA) wanted for an exciting, largescale project in the ... Candidates should have proficiency with basic computing packages such as MS Word and Excel and will ...

Harvard University

Research Assistant I Lab

Cambridge, MA

$21.25 - $29.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Job Summary: Full-time Research Assistant (RA) wanted for an exciting, largescale project in the ... Candidates should have proficiency with basic computing packages such as MS Word and Excel and will ...

NorthEastern

Research Scientist

Burlington, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... fulltime roles). * Familiarity with simulationbased models (e.g., physicsbased, networkbased ... Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents ...

Northeastern University

Research Scientist

Burlington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... full-time roles). * Familiarity with simulation-based models (e.g., physics-based, network-based ... Familiarity with cloud computing environments (e.g., Azure, AWS, or GovCloud equivalents ...

Zifo

Lab Computing Technician

Cambridge, MA · On-site

$20.75 - $27.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Zifo

Lab Computing Technician

Waltham, MA

$20.50 - $27.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Zifo

Lab Computing Technician

Framingham, MA · On-site

$19.50 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Zifo

Lab Computing Technician

Waltham, MA · On-site

$20.50 - $27.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Zifo

Lab Computing Technician

Waltham, MA · On-site

$20.50 - $27.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Zifo

Lab Computing Technician

Framingham, MA · On-site

$19.50 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Zifo

Lab Computing Technician

Cambridge, MA

$20.75 - $27.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role will require full-time on-site presence at a client site in the greater Boston area ... Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing ...

Cambridge Computer Services, Inc

HPC AI Technologist

Waltham, MA · On-site +1

$90K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... to-end research computing system solutions. You will leverage your expertise in scientific ... Authorization to work in the United States on a full-time basis required. About Us Cambridge ...

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All JobsResearch Computing JobsFull Time Research Computing JobsFull Time Research Computing Jobs in Massachusetts

Full Time Research Computing information

What are the key skills and qualifications needed to thrive as a full time research computing professional, and why are they important?

To thrive in Full Time Research Computing, you typically need a strong background in computer science, data analysis, and scientific research, often supported by a relevant degree or equivalent experience. Familiarity with high-performance computing (HPC) systems, programming languages such as Python or R, and tools like Linux, Slurm, or cloud platforms is crucial. Strong problem-solving skills, effective communication, and the ability to collaborate with multidisciplinary research teams set exceptional candidates apart. These skills ensure efficient support of complex research projects, effective data management, and the advancement of scientific discovery.

What is a full time research computing professional?

A Full Time Research Computing professional is someone who provides computational support and expertise for scientific research projects. They typically help researchers leverage high-performance computing (HPC) resources, manage large datasets, and implement software tools to advance scientific discovery. Their role often includes assisting with code optimization, troubleshooting technical issues, and ensuring efficient use of computing infrastructure. These professionals bridge the gap between research teams and IT, enabling more effective and innovative research outcomes.

What is the difference between Full Time Research Computing vs Research Data Analyst?

AspectFull Time Research ComputingResearch Data 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, universities, or research institutions with focus on computing infrastructureData analysis teams within research organizations or academic settings
Employer & Industry UsageUniversities, government research agencies, tech companiesAcademic institutions, healthcare, market research firms
Common Search & Comparison IntentUnderstanding roles involving research computing infrastructureRoles focused on analyzing research data sets

Full Time Research Computing professionals primarily manage and develop research computing infrastructure, while Research Data Analysts focus on analyzing research data to generate insights. Both roles require strong technical skills and often work within research environments, but their core responsibilities differ in focus—computing infrastructure versus data analysis.

How does a full time research computing professional typically collaborate with researchers and other IT staff?

A Full Time Research Computing professional regularly works alongside researchers to understand their computational needs, helping them optimize code, troubleshoot technical issues, and utilize high-performance computing resources efficiently. Collaboration with IT staff is also common to ensure system reliability, implement security protocols, and manage software installations. This role often acts as a bridge between domain scientists and technical teams, facilitating clear communication and effective project outcomes.

What are the most commonly searched types of Research Computing jobs in Massachusetts?

The most popular types of Research Computing jobs in Massachusetts are:

What are popular job titles related to Full Time Research Computing jobs in Massachusetts?

For Full Time Research Computing jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Full Time Research Computing jobs in Massachusetts look for?

The top searched job categories for Full Time Research Computing jobs in Massachusetts are:

Full Time Research Computing jobs near you
Infographic showing various Full Time Research Computing job openings in Massachusetts as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Staff Research Engineer, Scientific Computing and ML/Physics Infrastructure

Lila Sciences

Cambridge, MA • On-site

$224K - $294K/yr

Full-time

Medical, Dental, Vision, Life

Posted 11 days ago

Job description

Your Impact at LILA
Lila Sciences is seeking a Research Engineer, Scientific Computing and ML/Physics Infrastructure to help turn promising research tools into robust, scalable systems. This role bridges research and production: you will work with scientists and ML researchers who can prototype useful tools, then help make those tools efficient, distributed, fault tolerant, and usable across Lila's compute environments.
The Molecular Intelligence team is building ML and physics-based infrastructure for drug discovery, including biophysics workflows, computational chemistry tools, cofolding models, low-data learning systems, simulation workflows, and agent-usable scientific pipelines. We need an engineer who can improve code quality, architecture, GPU efficiency, cluster portability, and operational reliability without slowing down research velocity.
What You'll Be Building
  • Take research tools, prototypes, and scientific workflows developed by scientists or academic-style researchers and make them scalable, efficient, and maintainable.
  • Collaborate directly with computational biophysics, computational chemistry, and machine learning scientists to turn research workflows into scalable agent-usable systems.
  • Build and support ML and physics infrastructure for model training, molecular simulation, data processing, and agent-executed scientific workflows.
  • Ensure workflows run reliably across multiple clusters and compute environments.
  • Improve GPU utilization, distributed execution, throughput, fault tolerance, and reproducibility for ML and scientific workloads.
  • Architect larger-scale systems around research code, including job orchestration, retry behavior, monitoring, artifact handling, and workflow traceability.
  • Optimize ML, physics, and pipeline code for performance and scalability.
  • Maintain development and execution environments across local, cloud, and GPU-based systems.
  • Package scientific tools into reusable services, workflows, or APIs that can be used by researchers, pipelines, and AI agents.
  • Partner with research, platform, and infrastructure teams to bridge exploratory scientific work with reliable engineering systems.
  • Document systems clearly and establish pragmatic engineering patterns for research teams.

What You'll Need to Succeed
  • Strong software engineering skills in Python and experience working with ML, scientific computing, or simulation codebases.
  • Experience building, scaling, or operating distributed systems for research, ML, physics, simulation, or data-intensive workloads.
  • Practical knowledge of GPU computing, performance profiling, distributed execution, and failure modes in large-scale workloads.
  • Experience with PyTorch, JAX, CUDA-aware workflows, or related ML/scientific computing frameworks.
  • Practical knowledge of Linux, Docker or containers, dependency management, and reproducible development environments.
  • Experience with orchestration, scheduling, or distributed execution systems such as Kubernetes, Slurm, Ray, Flyte, Argo, or similar tools.
  • Ability to take prototype-quality research code and improve its architecture, scalability, reliability, and maintainability.
  • Strong debugging skills across code, environments, infrastructure, data pipelines, and compute clusters.
  • Ability to work directly with researchers, understand ambiguous technical needs, and convert them into robust engineering solutions.

Bonus Points For
  • Familiarity with chemistry, computational biophysics, molecular simulation, computational chemistry, cheminformatics, or drug discovery workflows.
  • Experience with cloud GPU infrastructure, multi-cluster execution, or hybrid compute environments.
  • Experience building tools for LLM agents or automated research workflows.
  • Experience with workflow observability, checkpointing, retries, and fault-tolerant scientific workloads.
  • Experience with CI, testing, packaging, and release practices for research software.
  • Comfort supporting fast-moving research teams without over-engineering exploratory work.

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
$224,000-$294,000 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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