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Senior Computational Designer Jobs (NOW HIRING)

AllSTEM Connections

Senior AI Protein Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

A well-funded, interdisciplinary medical research institute in Los Angeles is seeking a Senior AI ... computational designs into experimental reality through close collaboration with our in-house wet ...

Zoo

Senior Designer

Los Angeles, CA

$109K - $117K/yr

About The Role As a Senior Designer at Zoo, you will own design across our product experiences ... Interest in hardware, engineering, manufacturing, or computational design * Experience working with ...

Zoo

Senior Designer

Los Angeles, CA · On-site +1

$145K - $195K/yr

... Role As a Senior Designer at Zoo, you will own design across our product experiences, core ... Interest in hardware, engineering, manufacturing, or computational design * Experience working with ...

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Senior Computational Designer information

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$59K

$105.9K

$131K

How much do senior computational designer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for senior computational designer in the United States is $105,882.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $109,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Computational Designer vs Computational Designer?

AspectSenior Computational DesignerComputational Designer
CredentialsBachelor's or Master's in Architecture, Design, or related field; experience in computational toolsBachelor's or Master's in Architecture, Design, or related field; entry to mid-level experience
Work EnvironmentDesign firms, architecture studios, engineering companiesDesign firms, architecture studios, engineering companies
ResponsibilitiesLeading complex computational projects, mentoring juniors, advanced scriptingSupporting design processes with computational tools, developing scripts

While both roles involve computational design skills, Senior Computational Designers typically handle more complex projects, lead teams, and have more experience. Computational Designers focus on supporting design tasks and developing scripts under supervision. The senior role requires greater expertise and leadership, but both work within similar environments and industries.

What is a Senior Computational Designer?

A Senior Computational Designer is a professional who uses advanced computational tools, algorithms, and programming to solve design challenges, often in fields like architecture, engineering, or product design. They create digital models, automate design processes, and develop custom software solutions to enhance creativity and efficiency. In addition to technical proficiency, they often lead projects, mentor junior designers, and collaborate closely with multidisciplinary teams. Their work helps organizations push the boundaries of design innovation and optimize workflows.

What are some common challenges faced by Senior Computational Designers when integrating new digital tools into existing design workflows?

Senior Computational Designers often encounter challenges when integrating new digital tools, such as ensuring compatibility with legacy software, training team members with varying skill levels, and maintaining design quality and consistency throughout the transition. Additionally, balancing creativity with technical constraints can require strong communication and collaboration with both designers and engineers. Proactively addressing these challenges by fostering open dialogue, providing training, and piloting tools before full implementation can help ensure a smooth workflow integration.

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

To thrive as a Senior Computational Designer, you need advanced proficiency in computational design principles, parametric modeling, and a relevant degree in architecture, engineering, or design. Expertise with tools like Rhino, Grasshopper, Python scripting, and BIM software, along with certifications in these platforms, is highly valued. Strong problem-solving abilities, creativity, and effective collaboration skills set exceptional candidates apart. These competencies are crucial for delivering innovative, efficient solutions and leading multidisciplinary teams in complex design projects.
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What cities are hiring for Senior Computational Designer jobs? Cities with the most Senior Computational Designer job openings:
What are the most commonly searched types of Computational Designer jobs? The most popular types of Computational Designer jobs are:
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Senior Computational Designer jobs near you
Infographic showing various Senior Computational Designer job openings in the United States as of June 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 89% Physical, 5% Hybrid, and 6% Remote job distribution, with an average salary of $105,882 per year, or $50.9 per hour.
Senior Scientist, Computational Biology

Senior Scientist, Computational Biology

Korro Bio

Cambridge, MA

$99K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago

Key responsibilities

  • Drive computational biology analyses across research pipeline, including target validation, mechanism-of-action studies, and characterization of RNA editing activity in preclinical models.

  • Design, execute, and interpret NGS-based experiments in support of oligonucleotide design, screening, and pharmacology workstreams.

  • Develop and maintain reproducible analysis pipelines in R and/or Python, leveraging existing Data Science infrastructure.

Job description

Company Summary: Korro is a biopharmaceutical company focused on developing a new class of genetic medicines for both rare and highly prevalent diseases using its proprietary RNA editing platform. Korro is generating a portfolio of differentiated programs that are designed to harness the body's natural RNA editing process to effect a precise yet transient single base edit. By editing RNA instead of DNA, Korro is expanding the reach of genetic medicines by delivering additional precision and tunability, which has the potential for increased specificity and improved long-term tolerability. Using an oligonucleotide-based approach, Korro expects to bring its medicines to patients by leveraging its proprietary platform with precedented delivery modalities, manufacturing know-how, and established regulatory pathways of approved oligonucleotide drugs. Korro is based in Cambridge, Massachusetts.

We are collaborative and united by a common mission. We are building a company with extraordinary people with an audacious vision to create transformative genetic medicines for prevalent diseases. Our values - Rewrite the future, On the Cutting Edge, Better Together, Dynamically Different, Kindness and Integrity form the fabric of the organization. They are reinforced daily and serve as key dimensions in the hiring process to help us ensure that Korro is a magnet for outstanding talent and a great place to work. Join us as we redefine what's possible in genetic medicine and work to make a lasting impact on human health.
Position Summary:
We are seeking an experienced and versatile Senior Scientist, Computational Biology to join our Data Science team and contribute across the breadth of Korro's research and translational programs. The successful candidate will operate as an analytical generalist - comfortable moving between target validation, NGS/omics analysis, assay analytics, and translational support for our oligonucleotide therapeutics pipeline. This is a hands-on role suited to someone who has already proven themselves in a biotech or pharma environment and who thrives in a small, fast-moving organization where program needs evolve quickly.
Key Responsibilities:

  • Drive computational biology analyses across Korro's research pipeline, including target validation, mechanism-of-action studies, and characterization of RNA editing activity in preclinical models. 

  • Design, execute, and interpret NGS-based experiments (RNA-seq, variant calling, targeted amplicon sequencing) in support of oligonucleotide design, screening, and pharmacology workstreams. 

  • Partner with platform biology, chemistry, and pharmacology teams to translate experimental questions into rigorous analytical workflows and to communicate results in a form that informs program decisions. 

  • Develop and maintain reproducible analysis pipelines in R and/or Python, leveraging existing Data Science infrastructure (Posit Connect, MLflow, containerized environments, AWS). 

  • Contribute analytical support to the preclinical-to-clinical translational handoff for our GalNAc-conjugated programs, including PK/PD characterization and biomarker analysis as programs mature. 

  • Collaborate with cross-functional stakeholders to scope new analyses, set realistic timelines, and deliver results that are technically sound and decision-ready. 

  • Mentor junior scientists and contractors on best practices in scientific computing, reproducibility, and statistical rigor. 

  • Share findings through internal presentations and contribute to the scientific community through publications or presentations as appropriate. 

Required Qualifications:

  • Ph.D. in Computational Biology, Bioinformatics, Genomics, Computational Chemistry, or a related quantitative discipline, with 3+ years of post-PhD experience in a biotech or pharmaceutical industry setting. Academic-only or pure-tech industry experience will not be considered for this role. 

  • Demonstrated track record of shipped, decision-impacting analyses on industry programs - e.g., target validation, biomarker discovery, oligonucleotide or small-molecule pharmacology, or preclinical-to-clinical translation. 

  • Strong scientific programming in R and/or Python, with proficiency in standard biological data analysis libraries (Bioconductor, tidyverse, pandas, numpy, scikit-learn, etc.). 

  • Solid experience analyzing NGS data, including RNA-seq differential expression workflows, variant calling, and quality control of sequencing experiments. 

  • Familiarity with oligonucleotide or RNA-based therapeutics - including chemical modifications, delivery modalities (GalNAc, LNP), and the analytical considerations specific to ASOs, siRNAs, or related modalities. 

  • Working knowledge of statistical modeling appropriate to biological data: linear and generalized linear models, mixed-effects models, multiple testing correction, and basic experimental design. 

  • Comfort working with messy, real-world experimental data and collaborating directly with bench scientists to refine analytical questions. 

  • Excellent written and oral communication skills, including the ability to translate technical results for non-computational stakeholders. 

Preferred Qualifications:

  • Experience analyzing clinical or translational data - Phase 1 PK/PD, biomarker time-courses, or exposure-response analyses - is a strong plus. 

  • Familiarity with hepatology, metabolic disease, or other indications relevant to GalNAc-conjugated oligonucleotide therapeutics. 

  • Experience with cloud-based analytical infrastructure (AWS), containerized workflows (Docker), and reproducible reporting tools (Posit Connect, Quarto, R Markdown). 

  • Prior contribution to IND-enabling packages or regulatory submissions. 

  • Peer-reviewed publications in computational biology, genomics, or therapeutic pharmacology. 

  • Hands-on experience using agentic coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) in a production scientific computing context, with a thoughtful perspective on where these tools accelerate work and where human review remains essential. 

$150,000 - $200,000 a year
The range provided is based on what we believe is a reasonable estimate for the base the salary pay range for this job at this time. This does not include annual bonus and equity. The actual salary will be based on a number of factors including skills, competencies, experience, and other job related factors permitted by law.
Benefits:  Korro offers competitive compensation, including equity-based compensation, and a comprehensive benefits package that includes medical, dental, vision, 401(k) retirement plan, life insurance, a dependent care flexible spending account and a Company-funded health savings account and free parking.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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