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Computational Scientist 3 Jobs (NOW HIRING)

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Excellent employment opportunity for a Scientist III in the Ridgefield, CT area. * Design ... Familiarity with computational biology tools and experience working with computational biologists ...

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Computational Scientist 3 information

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$50.5K

$111.3K

$137.5K

How much do computational scientist 3 jobs pay per year?

As of Jul 16, 2026, the average yearly pay for computational scientist 3 in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What does a computational scientist do?

A computational scientist develops and applies mathematical models, algorithms, and simulations to analyze complex scientific problems. They often work with high-performance computing tools and programming languages like Python or C++ to interpret data and support research across various scientific disciplines.

What are Computational Scientist 3s?

A Computational Scientist 3 is an advanced professional who applies computational techniques, modeling, and data analysis to solve complex scientific and engineering problems. This role typically requires several years of experience and often involves designing and implementing algorithms, developing software, and collaborating with researchers across disciplines. Computational Scientist 3s may also lead projects, mentor junior staff, and contribute to scientific publications. They work in fields such as physics, chemistry, biology, and engineering, utilizing high-performance computing and specialized software tools.

What are the key skills and qualifications needed to thrive as a Computational Scientist 3, and why are they important?

To thrive as a Computational Scientist 3, you need advanced expertise in scientific computing, data analysis, and a relevant graduate degree (often a PhD) in fields like physics, chemistry, or computer science. Proficiency in programming languages (such as Python, C++, or Fortran), experience with high-performance computing (HPC) systems, and familiarity with scientific software tools and version control are typically required. Strong problem-solving skills, collaboration, and effective communication set outstanding candidates apart. These skills are critical for developing innovative computational solutions, advancing research objectives, and contributing effectively within interdisciplinary scientific teams.

What types of interdisciplinary collaboration can a Computational Scientist 3 expect in their daily work?

As a Computational Scientist 3, you will frequently collaborate with researchers, engineers, and domain experts across various scientific disciplines. Your role often involves integrating computational models and data analysis tools into broader research projects, requiring effective communication to translate complex technical concepts for non-specialists. You may also work closely with IT teams to optimize computational resources and with project managers to ensure deliverables align with research goals. This collaborative environment encourages knowledge sharing and fosters opportunities for professional growth through exposure to diverse scientific challenges.

What is the highest paying job in computational biology?

The highest paying roles in computational biology often include senior positions such as Principal Scientist or Director of Computational Biology, with salaries exceeding $150,000 annually. These roles typically require advanced degrees, extensive experience, and expertise in areas like bioinformatics, machine learning, and programming tools such as Python or R.

What is scientist 3 at Genentech?

A Scientist 3 at Genentech is a senior-level research scientist responsible for leading complex projects in biomedical research, often requiring advanced expertise in molecular biology, data analysis, and laboratory techniques. This role typically involves designing experiments, analyzing data, and collaborating with cross-functional teams to support drug discovery and development efforts.

What are 5 jobs in computer science?

Computational Scientists 3 often work in roles such as data scientist, software engineer, machine learning engineer, systems analyst, and research scientist. These positions typically require programming skills, knowledge of algorithms, and experience with scientific computing tools like Python, C++, or MATLAB. They may also involve collaboration in research environments or development teams.
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Computational Scientist 3 jobs near you
Infographic showing various Computational Scientist 3 job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 25% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Computational Scientist

Tamarind Bio, Inc

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

Posted 24 days ago

Job description

About Tamarind Bio
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren't feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
About the Role
We're hiring a Computational Scientist to help curate, build, and scale Tamarind's library of AI-powered drug discovery tools.
In this role, you'll work closely with the founders and engineering team to operationalize cutting-edge models for structure prediction, protein design, docking, scoring, and other core biological AI workloads. You'll help transform fragmented research tools into production-ready workflows that scientists can run reliably at scale.
You'll collaborate directly with customers to understand their discovery challenges and help them leverage Tamarind's platform to run real biological AI pipelines. This often involves chaining multiple tools together, troubleshooting workflows, and identifying opportunities to improve the platform.
This role sits at the intersection of computational biology, machine learning, and scientific infrastructure, and is ideal for someone excited about applying the latest advances in AI to real-world drug discovery programs.
Our techstack:
  • Python, PyTorch, TensorFlow, CUDA, Conda, Docker, AWS (EC2, S3, DynamoDB), molecular modeling tools, protein design frameworks, structural biology tooling, APIs and workflow orchestration.

Week in the Life:
  • Work with founders and engineers to integrate and deploy biological ML models on the Tamarind platform.
  • Build and refine workflows connecting tools like structure prediction, docking, and scoring models.
  • Partner with customers to troubleshoot pipelines and help them run large-scale discovery workflows.
  • Evaluate new research tools and integrate promising models into the platform
    Contribute to improving reliability, performance, and scalability of scientific pipelines

Qualification requirements:
  • Strong background in computational biology, computational chemistry, bioinformatics, or related field
  • Familiarity with ML and physics-based tools in structural biology, molecular dynamics, protein-ligand docking, or virtual screening
  • Experience working with biological data such as molecular structures, compounds, sequences, and databases
  • Programming experience in Python and scientific computing workflows
  • Comfort working with cloud infrastructure and ML tooling (AWS, Docker, CUDA, Conda, PyTorch, TensorFlow)
  • Located in the SF Bay Area or able to relocate
Our Interview Process
We keep our process focused, transparent, and designed to give both sides a clear sense of fit.
1. Recruiter Screen (15-30 minutes) - Virtual
2. Technical Interview (90 minutes) - Virtual
3. Onsite (1 day) - San Francisco

Apply