2

Remote Computational Geometry Developer Jobs (NOW HIRING)

Staff Computational Biologist

Lexington, MA ยท On-site +1

$195K - $230K/yr

Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work ... Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 ...

Machine Learning Engineer

Foster, OR ยท On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... vision and computational geometry components. * Develop signal-processing and image-analysis ...

Staff AI Engineer - SimAI Team

Sunnyvale, CA ยท On-site +1

$189K - $290K/yr

Experience with scene understanding, or computational geometry * Background in 3D geometry ... Remote: This role is based remotely but if you live within a 50-mile radius of [Atlanta, Austin ...

Experience with 3D modeling, computational geometry, or computer graphics in a research or ... Working at Higharc Higharc has been remote first since our founding in 2018. We offer flexible ...

Design Engineer

Gorham, ME ยท On-site +1

Develop and manage computational models and analysis tools in MATLAB to support performance ... Ensure precise transfer of geometry, program data, and BOM structures into crossfunctional systems ...

next page

Showing results 1-20

Remote Computational Geometry Developer information

See salary details

$47K

$136.3K

$310K

How much do remote computational geometry developer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote computational geometry developer in the United States is $136,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Computational Geometry Developer vs Remote Software Engineer?

AspectRemote Computational Geometry Developer

Remote Computational Geometry Developers focus on algorithms and data structures related to geometric computations, often requiring specialized knowledge in computational geometry, mathematics, and programming. They typically work in industries like CAD, GIS, or robotics, often in a remote setting. Remote Software Engineers have a broader scope, working on various software applications across industries, with less emphasis on geometric algorithms. Both roles may require similar programming skills and remote work experience, but the core focus differs significantly.

What are some common challenges faced by remote computational geometry developers, and how can they be addressed?

Remote computational geometry developers often face challenges such as collaborating effectively with distributed teams, ensuring code consistency, and managing complex mathematical algorithms without immediate in-person support. To overcome these, regular virtual meetings, clear documentation, and the use of collaborative development tools like version control systems are essential. Additionally, leveraging online forums and peer code reviews can help maintain high-quality work and foster ongoing learning.

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

To thrive as a Remote Computational Geometry Developer, you need strong mathematical foundations in computational geometry, proficiency in programming languages like C++, Python, or Java, and typically a degree in computer science or a related field. Familiarity with algorithm libraries (such as CGAL), version control systems (like Git), and cloud-based collaboration tools is essential. Excellent problem-solving skills, attention to detail, and clear communication are important soft skills for collaborating remotely and tackling complex geometric challenges. These combined skills ensure you can efficiently develop robust algorithms, collaborate with distributed teams, and deliver accurate, high-performance solutions.

What is a Remote Computational Geometry Developer?

A Remote Computational Geometry Developer is a software engineer who specializes in designing, developing, and optimizing algorithms that solve geometric problems, such as collision detection, mesh generation, or spatial analysis. This role involves working remotely, often collaborating with teams in fields like computer graphics, robotics, CAD, or GIS. Developers in this area typically use programming languages like C++, Python, or Java and apply advanced mathematical concepts to create efficient and scalable geometric solutions.
More about Remote Computational Geometry Developer jobs
What cities are hiring for Remote Computational Geometry Developer jobs? Cities with the most Remote Computational Geometry Developer job openings:
What are the most commonly searched types of Computational Geometry Developer jobs? The most popular types of Computational Geometry Developer jobs are:
What states have the most Remote Computational Geometry Developer jobs? States with the most job openings for Remote Computational Geometry Developer jobs include:
What job categories do people searching Remote Computational Geometry Developer jobs look for? The top searched job categories for Remote Computational Geometry Developer jobs are:
Infographic showing various Remote Computational Geometry Developer job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $136,257 per year, or $65.5 per hour.
Staff Computational Biologist

Staff Computational Biologist

Valo Health

Lexington, MA โ€ข On-site, Remote

$195K - $230K/yr

Full-time

Medical, Retirement

Posted 6 days ago


Job description

About Us
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company's Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry.
Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development.
Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation.
Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit www.valohealth.com.
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

Remote Salary Range
$165,750-$195,000 USD
CA Salary Range
$195,585-$230,100 USD
Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future.
Please note: At this time, we are only able to consider candidates who currentlyhave permanent US work authorization without the need for immediate or future sponsorship.