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Computational Engineer Jobs (NOW HIRING)

Valo Health

Staff Computational Biologist

Lexington, MA · Hybrid

As a senior member of the Translational Platform Engineering team, you will act as a product owner ... The Staff Computational Biologist is the key to translating use cases into technical specifications ...

Neptune Bio

Computational Biologist

Manhattan, NY

Computational Biologist New York Position Summary We are seeking a Computational Biologist who is ... Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake ...

Neptune Bio

Computational Biologist

New York, NY · On-site

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven ... Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake ...

Neptune Bio

Computational Biologist

New York, NY

Position Summary We are seeking a Computational Biologist who is passionate about using data-driven ... Expertise in data engineering and reproducible research tools (e.g., Docker, Nextflow, Snakemake ...

Fuse

Computational Physicist

San Leandro, CA · On-site

Stay up to date with advancements in computational techniques, programming languages, and physical theories to apply state-of-the-art methodologies to projects. * Contribute to academic papers ...

Valo Health

Staff Computational Biologist

Lexington, MA · On-site +1

$195.59K - $230.10K/yr

The company's Opal Computational Platform transforms drug discovery and development through a ... Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work ...

Verge Genomics

Our team of engineers, neuroscientists, and biologists have so far delivered two drugs to clinic ... Develop and evaluate cutting-edge computational methodologies integrating multi-omic datasets to ...

Toyon

Computational Multiphysics Engineer

Goleta, CA · On-site

$125K - $195K/yr

We are seeking a Computational Multiphysics Engineer with expertise in numerical methods and mathematical simulation to support the design and analysis of advanced antenna systems integrated into ...

Goldbelt, Inc.

AI/Computational Biologist

Fort Detrick, MD · On-site

$155K - $165K/yr

Master's or PhD in Molecular, Computational or Structural Biology, Bioinformatics, Biomedical Engineering, Biophysics/Computational Chemistry, Pharmaceutical Science, Chemistry, Immunology, or a ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related field * Deep expertise in numerical PDE methods: FEM, FVM, or BEM - weak formulations, quadrature ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role ... Strong software engineering fundamentals and experience working with bioinformatics tools and ...

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Computational Engineer information

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$48.5K

$121.5K

$137.5K

How much do computational engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for computational engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Computational Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency in programming languages (such as Python, C++, or MATLAB), experience with simulation software (like ANSYS or COMSOL), and familiarity with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help set top performers apart in this field. These skills are crucial for developing accurate models, optimizing complex systems, and effectively collaborating in multidisciplinary teams.

How does a Computational Engineer typically collaborate with multidisciplinary teams on complex projects?

Computational Engineers frequently work alongside professionals from various disciplines such as mechanical engineers, data scientists, and software developers. Effective collaboration often involves translating engineering problems into computational models, communicating technical requirements, and integrating simulation results into broader project workflows. Regular meetings, shared documentation, and collaborative software tools are commonly used to ensure alignment and progress. This team-based approach helps deliver accurate and actionable insights for product design, optimization, or research objectives.

What is a computational engineer?

A computational engineer is a professional who uses advanced computing techniques and mathematical models to solve complex engineering problems. They develop simulations, algorithms, and software to analyze and optimize systems in fields such as aerospace, automotive, civil engineering, and more. Their work often involves programming, data analysis, and applying principles from physics and mathematics to create efficient solutions. Computational engineers bridge the gap between traditional engineering and computer science, enabling innovation through technology.

What is the difference between Computational Engineer vs Software Engineer?

AspectComputational EngineerSoftware Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; knowledge of programming and numerical methodsBachelor's or Master's in Computer Science, Software Engineering, or related fields; strong programming skills
Work EnvironmentResearch labs, engineering firms, tech companies; often involves simulation and modelingTech companies, startups, software firms; focuses on application development and system design
Industry UsageEngineering, aerospace, automotive, scientific researchIT, software development, technology services

Computational Engineers and Software Engineers share programming skills and work in tech-related environments. However, Computational Engineers focus more on applying computational methods to engineering problems, simulations, and modeling, while Software Engineers primarily develop software applications and systems. Both roles require strong technical backgrounds but serve different industry needs.

More about Computational Engineer jobs
What cities are hiring for Computational Engineer jobs? Cities with the most Computational Engineer job openings:
What states have the most Computational Engineer jobs? States with the most job openings for Computational Engineer jobs include:
What job categories do people searching Computational Engineer jobs look for? The top searched job categories for Computational Engineer jobs are:
Computational Engineer jobs near you
Infographic showing various Computational Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Staff Computational Biologist

Staff Computational Biologist

Valo Health

Lexington, MA • Hybrid

Other

Posted 15 days ago

Job description

About the Role

We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution.

As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams.

This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists.

What You'll Do...

  • Own the product roadmap for Target ID software.
  • Gather and prioritize scientific requirements from internal users.
  • Translate use cases into technical specifications for engineering teams.
  • Rapidly prototype computational solutions using Python.
  • Develop and maintain internal packages, reproducible workflows, and APIs.
  • Establish documentation, onboarding materials, and best practices for internal platform usage.
  • Lead cross-functional project execution (data engineering, software engineering).
  • Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.)

What You Bring...

  • Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience
  • 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years' experience in software engineering and data engineering teams
  • Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages
  • Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC
  • 1+ years' experience leading complex projects as product owner
  • Experience supporting target identification, prioritization, or multi-modal analysis.

Nice to have...

  • Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js).
  • Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).
  • Familiarity with the drug discovery and development process is a plus

 

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