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Computational Designer Remote Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates should have experience developing, implementing, or applying analytical or computational ...

You will leverage AI-enabled computational approaches to accelerate scientific discovery while ... S.-based remote role with periodic travel (quarterly or as needed) to GondolaBio's Palo Alto office ...

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Computational Biology * Health Informatics * Material Science ICDS Fellows will be part of a highly ...

... study designs that advance clinical adoption of data science methodologies Support community ... computational tools in clinical or healthcare environment. Work Schedule: Hybrid Onsite/Remote ...

Director, Value & Access

$160K - $220K/yr

Experience in oncology, including precision medicine, biomarkers, or computational pathology / AI ... designing a better, more sustainable workforce. We recognize the benefits of flexible, remote ...

... Remote Responsibilities : * Conduct comprehensive flexibility and computational pipe stress ... Provide detailed markups on piping diagrams and isometrics to guide piping and structural designers

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The applicant must have prior experience with computational modeling and flume experiments.

This remote contract opportunity is designed for experienced chemistry professionals who are ... Research or industry experience involving computational, quantitative, or applied chemistry ...

This opportunity is a full-time position with Guidehouse and can be remote or on-site at NIH in ... include designing and implementing APIs, data processing pipelines, and computational services ...

Senior Software Engineer

Berkeley, CA ยท On-site +1

$150K - $250K/yr

You'll work on hard computational problems, from design automation algorithms to real-time ... We're changing that. - Because our designs are code, we have a natural foundation for AI that ...

Senior Software Engineer

Berkeley, CA ยท On-site +1

$150K - $250K/yr

You'll work on hard computational problems, from design automation algorithms to real-time ... We're changing that. - Because our designs are code, we have a natural foundation for AI that ...

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Computational Designer Remote information

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How much do computational designer remote jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for computational designer remote in the United States is $23.71, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $24.04 per hour, depending on experience, location, and employer.

What is a computational designer?

Computational designers are professionals who use computer-based tools, algorithms, and programming to create, analyze, and optimize designs, often in fields such as architecture, engineering, and product development. They use software and scripting languages to automate repetitive tasks, generate complex geometries, and simulate real-world performance. Working remotely, computational designers collaborate online with teams to solve design challenges, streamline workflows, and create innovative solutions. Their expertise bridges the gap between design creativity and technical efficiency, making them valuable assets in technology-driven industries.

What are the key skills and qualifications needed to thrive as a computational designer in a remote setting, and why are they important?

To thrive as a Computational Designer remotely, you need expertise in computational design principles, proficiency in parametric modeling, and a background in architecture, engineering, or a related field. Familiarity with tools like Grasshopper, Rhino, Python, and BIM software, as well as experience with cloud-based collaboration platforms, is typically required. Strong problem-solving, self-motivation, and clear communication skills help you excel in distributed teams and convey complex ideas effectively. These competencies are crucial for delivering innovative, efficient design solutions and maintaining productivity in a remote work environment.

How does a remote computational designer typically collaborate with multidisciplinary teams on projects?

Remote Computational Designers frequently work with architects, engineers, and software developers to create data-driven design solutions. Collaboration often happens through virtual meetings, shared digital workspaces, and version-controlled repositories for scripts and models. Clear communication and regular updates are essential to align on project goals and integrate computational tools smoothly into the design process. Leveraging collaborative platforms like Slack, Miro, or BIM 360 helps ensure effective teamwork and timely feedback, even when team members are in different locations.
More about Computational Designer Remote jobs
What cities are hiring for Computational Designer Remote jobs? Cities with the most Computational Designer Remote job openings:
What are the most commonly searched types of Computational Designer jobs? The most popular types of Computational Designer jobs are:
What states have the most Computational Designer Remote jobs? States with the most job openings for Computational Designer Remote jobs include:
Infographic showing various Computational Designer Remote job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $49,320 per year, or $23.7 per hour.

Member of the Technical Staff

Absentia Labs

San Francisco, CA โ€ข Remote

Full-time

Re-posted 4 days ago


Job description

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about working at the intersection of AI, biotech, translational medicine, and scalable scientific systems, we would love to hear from you.


About the Role

Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure designed to improve how biological risk and organ-level toxicity are understood earlier in drug development. Our platform integrates large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs).

We are looking for highly motivated engineers with broad backgrounds who are excited to solve technically challenging problems in AI, biology, infrastructure, and scientific computing. This is a general application for candidates who may fit current or future engineering needs as the company grows.


Areas of interest may include:

  • Machine learning and AI infrastructure

  • Computational biology and bioinformatics

  • Backend and distributed systems

  • Data engineering and data platforms

  • Scientific software engineering

  • Full-stack product engineering

  • Cloud infrastructure and MLOps

  • Applied AI research

  • Visualization and scientific interfaces


What We Look For
  • Strong technical fundamentals and problem-solving ability

  • Interest in mission-driven work within biotechnology and healthcare

  • Ability to operate in fast-moving, ambiguous startup environments

  • Curiosity, ownership, and willingness to learn across disciplines

  • Experience building scalable systems, models, or products

  • Strong communication and collaboration skills

Nice to Have
  • Experience in biotech, healthcare, life sciences, or scientific computing

  • Familiarity with machine learning workflows or biological datasets

  • Startup or early-stage company experience

  • Interest in translational medicine, toxicology, or computational drug development

Location

Hybrid and remote-friendly depending on role. Preference for candidates open to working closely with the founding team in Boston.


Why Absentia Labs
  1. Work on scientifically meaningful problems with real-world impact

  2. Help shape a foundational platform at the intersection of AI and biology

  3. Collaborate with pharmaceutical, academic, and regulatory stakeholders

  4. Early-stage ownership and opportunity for outsized impact

  5. Mission-driven team focused on improving translational safety and reducing unnecessary animal testing