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Computational Design Jobs in Ontario (NOW HIRING)

Working knowledge of Design Visualization, Virtual Reality, Computational Design and Environmental Analysis applications * High-level of proficiency leveraging Rhino, Revit and Grasshopper in the ...

Digital Practice Manager

Ottawa, ON · On-site

CA$94K - CA$125K/yr

Working knowledge of Design Visualization, Virtual Reality, Computational Design and Environmental Analysis applications * High-level of proficiency leveraging Rhino, Revit and Grasshopper in the ...

Uniquely, decades of investment in physics simulation engines, CAD kernels, and computational design tools give us something most labs don't have: high-fidelity, domain-grounded verifiers that can ...

CA$140K - CA$225K/yr

Design and execute ML experiments with clear hypotheses and rigorous analysis * Optimize model performance and computational efficiency for large-scale protein design tasks * Build tools and ...

Position: STEM Computational Scientific Software & Evaluation Design - Astrophysics & Cosmology Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 15-20 hours/week Role ...

Published research in computational biology, protein design, or structural biology * Experience training on proprietary or domain-specific biological datasets * Familiarity with Ray for distributed ...

Strong scientific literacy: you can discuss experimental design, evaluate data sources, and hold your own with R&D and computational biology stakeholders. Background in biology, computational biology ...

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Computational Design information

See Ontario salary details

$26K

$98.1K

$180K

How much do computational design jobs pay per year?

As of Aug 4, 2026, the average yearly pay for computational design in Ontario is $98,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in computational design, and why are they important?

To thrive in Computational Design, a strong background in mathematics, programming, and design principles is essential, often supported by a degree in architecture, engineering, computer science, or a related field. Proficiency in software tools such as Rhino, Grasshopper, Python, MATLAB, and CAD platforms is typically required, along with relevant certifications in parametric or generative design if available. Strong problem-solving skills, creative thinking, and the ability to collaborate across multidisciplinary teams help candidates excel in this position. Mastery of these skills enables the creation of innovative, efficient solutions for complex design challenges and facilitates effective teamwork within fast-moving project environments.

What does a typical day look like for someone working in computational design?

A typical day in Computational Design involves using specialized software to develop, test, and refine design algorithms that solve spatial or structural problems. You might collaborate with architects, engineers, or product designers to create digital prototypes, analyze performance data, and implement feedback for iterative improvement. Much of the work is project-based and requires frequent teamwork and meetings to align goals and ensure smooth integration of computational solutions into larger projects. Expect a dynamic environment where problem-solving and creativity are highly valued, and learning opportunities are ongoing as you stay up-to-date with new tools and methods.

Is computational design a good career?

Computational design is a growing field that combines design skills with programming and data analysis, often requiring knowledge of software like Rhino, Grasshopper, or Python. It offers opportunities in architecture, product design, and engineering, with a focus on innovation and problem-solving. Job prospects depend on industry demand, technical proficiency, and the ability to adapt to new tools and technologies.

What is a computational design?

A Computational Design job involves using algorithms, programming, and digital tools to create and optimize designs across various disciplines such as architecture, engineering, and product design. Professionals in this field leverage parametric modeling, generative design, and automation to enhance efficiency and innovation. They often work with software like Grasshopper, Dynamo, Python, or machine learning frameworks to solve complex design challenges. This role blends creativity with technical expertise to develop smarter, data-driven design solutions.

What are popular job titles related to Computational Design jobs in Ontario? For Computational Design jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Computational Design jobs in Ontario look for? The top searched job categories for Computational Design jobs in Ontario are:
Infographic showing various Computational Design job openings in Ontario as of July 2026, with employment types broken down into 74% Full Time, 25% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $98,079 per year, or $47.2 per hour.

Computational Chemist - Generative Molecule & Protein Design

Roche

Mississauga, ON • On-site, Remote

CA$145K - CA$269K/yr

Full-time

Posted 7 days ago


Roche rating

9.3

Company rating: 9.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical


Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

At Roche Sequencing Solutions, we are building the next generation of sequencing and diagnostic platforms powered by advanced computation and AI. As part of our Computational Science & Informatics Chapter, you will sit at the intersection of computational chemistry, structural biology, and applied AI to directly impact real-world commercial instruments and R&D workflows.

The Opportunity

You will join an innovative, collaborative environment where you will:

  • Drive Molecular & Protein Design: Build and run structure-based and ligand-based virtual screening workflows to find new substrates, cofactors, and small molecules for our sequencing and biocatalysis platforms.

  • Enzyme Modeling & De Novo Design: Perform advanced structural modeling and molecular docking simulations on natural and engineered enzyme variants, with a heavy focus on optimizing multi-ligand binding pathways. Lead in silico de novo enzyme design, creating novel protein scaffolds and active sites tailored for multi-ligand binding, optimal catalysis, and enhanced structural stability.

  • Simulate Molecular Dynamics: Explore conformational changes, reaction mechanisms, transition states, and electronic structures using advanced physics-based modeling and quantum chemistry tools.

  • Use Computational Tools: Analyze and optimize biopolymers and biomimetic polymers, leveraging rich internal datasets to design new derivatives and tune properties relevant to sequencing and diagnostic performance.

  • Advance Generative AI Pipelines: Develop and scale generative workflows (including Transformers, GNNs, and diffusion models) for property-guided molecule generation and Computer-Aided Synthesis Planning (CASP).

  • Collaborate for Impact: Partner closely with experimental wet-lab biochemists, protein engineers, and synthetic chemists to turn computational insights into real-world experiments.

  • Pilot Emerging Technologies: Scout and implement cutting-edge tools from the literature and the vibrant local AI ecosystem into production-grade workflows.

Who You Are

You are a curious, collaborative, and driven scientist who loves combining physics-based modeling with modern machine learning to solve complex biological puzzles. You explain complex models clearly to diverse teams, value reproducible research, and are excited to co-design experiments that bridge the digital and physical worlds.

  • You have a a Ph.D. Computational Chemistry, Biochemistry, Biophysics, Structural Biology, or a highly quantitative related field or a Master's degree in Computational Chemistry, Biochemistry with 2 years of related experience or Bachelors with 3 years of related experience.

  • You have a 1+ years of intensive research experience (academic or industry) focused on protein modeling, molecular design, virtual screening, or AI/ML for molecules.

  • You have hands-on experience with docking tools, molecular dynamics packages (such as GROMACS, AMBER, or OpenMM), and quantum chemistry tools.

  • You are proficient in Python (NumPy, SciPy, Pandas, PyTorch) combined with practical experience using RDKit for cheminformatics and developing generative molecular models.

  • You have a strong grasp of enzyme kinetics, binding thermodynamics, transition-state theory, and how synthetic modifications alter macromolecular structures.

The expected salary range for this position is based on the primary location of Santa Clara, CA is $145,300 - $269,800 Annual. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.

This position also qualifies for the benefits detailed here: Benefits

Relocation benefits are not available for this position

Where pay transparency applies, details are provided based on the primary posting location. For this role, the primary location is Santa Clara. If you are interested in additional locations where the role may be available, we will provide the relevant compensation details later in the hiring process.Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let's build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.


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