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Computational Intelligence Jobs (NOW HIRING)

Oxman

Computational Designer

New York, NY · On-site

$115K - $143K/yr

Role Overview OXMAN is seeking a Computational Designer to join the EDEN design team and develop procedural design workflows that integrate ecological intelligence into architecture, landscape, and ...

1910

Computational Theoretical Chemist II

Boston, MA · On-site

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... Own computational chemistry programs across therapeutic modalities, disease targets, and ...

JobRx, Inc.

Computational Chemistry Lead

Cambridge, MA · On-site

$119 - $170/hr

Computational Chemistry About Astellas Astellas is a global life sciences company committed to ... Intellectual Property: Identify and protect IP through patent filings and strategic documentation.

New

Kitware

Computational Imaging Researcher

Clifton Park, NY · On-site

$125K - $170K/yr

Much of Kitware's work involves applying state-of-the-art computational imaging and artificial intelligence approaches to dynamic, real-world problems. You will have the opportunity to contribute ...

Kitware

Computational Imaging Researcher

Minneapolis, MN · On-site

$125K - $170K/yr

Much of Kitware's work involves applying state-of-the-art computational imaging and artificial intelligence approaches to dynamic, real-world problems. You will have the opportunity to contribute ...

1910

Computational Theoretical Chemist I

Boston, MA · On-site

Advances in big chemical data, massive computing power, artificial intelligence, and molecular ... Own computational theoretical chemistry programs across therapeutic modalities, disease targets ...

Kitware

Computational Imaging Researcher

Clifton Park, NY · On-site

$125K - $170K/yr

Much of Kitware's work involves applying state-of-the-art computational imaging and artificial intelligence approaches to dynamic, real-world problems. You will have the opportunity to contribute ...

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Computational Intelligence information

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$11K

$100.6K

$133K

How much do computational intelligence jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computational intelligence in the United States is $100,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is computational intelligence?

Computational intelligence is a field of artificial intelligence that focuses on developing algorithms and systems that can learn, adapt, and solve complex problems without explicit human programming. It typically includes techniques such as neural networks, fuzzy systems, evolutionary computation, and swarm intelligence. These methods are inspired by natural processes and are used in various applications like pattern recognition, optimization, and data analysis. Computational intelligence is widely used in industries ranging from finance to robotics.

What are the key skills and qualifications needed to thrive as a computational intelligence specialist?

A Computational Intelligence Specialist typically requires strong expertise in mathematics, programming (often Python or MATLAB), and a solid background in areas like machine learning, neural networks, and evolutionary algorithms, usually supported by a degree in computer science or a related field. Familiarity with technical tools such as TensorFlow, PyTorch, MATLAB, and data processing platforms is essential, along with relevant certifications or specialized coursework. Analytical thinking, creativity, and effective problem-solving abilities help professionals excel in developing innovative solutions and collaborating with multidisciplinary teams. These skills are vital for designing intelligent systems that can tackle complex, real-world problems efficiently and accurately.

What are some common challenges faced by professionals working in computational intelligence, and how can they be addressed?

Professionals in Computational Intelligence often encounter challenges such as handling large and complex datasets, ensuring the interpretability of models, and keeping up with rapid advancements in algorithms and technology. Addressing these requires strong collaboration with domain experts, continuous learning through research and professional development, and applying best practices in data management and model validation. Effective teamwork and clear communication are essential, as projects frequently involve cross-functional teams including data scientists, engineers, and stakeholders from various disciplines.

What is the difference between Computational Intelligence vs Data Scientist?

AspectComputational IntelligenceData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learning, neural networksDegree in Statistics, Computer Science, or related fields; expertise in data analysis, programming
Work EnvironmentResearch labs, AI development teams, academiaBusiness environments, analytics teams, tech companies
Industry UsageAI research, pattern recognition, optimization problemsData analysis, predictive modeling, business insights

Computational Intelligence focuses on developing algorithms that mimic human decision-making and problem-solving, often in research or AI development settings. Data Scientists analyze large datasets to extract actionable insights for business decisions. While both roles require programming and analytical skills, Computational Intelligence emphasizes AI algorithm creation, whereas Data Scientists focus on data analysis and visualization.

More about Computational Intelligence jobs

What job categories do people searching Computational Intelligence jobs look for?

The top searched job categories for Computational Intelligence jobs are:

Computational Intelligence jobs near you
Infographic showing various Computational Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.

Director, Computational & Protein Sciences

Stylus Medicine

Cambridge, MA • On-site

$245K - $265K/yr

Full-time

Re-posted 17 days ago

Job description

About the Role:

Stylus Medicine is seeking an intellectually curious and creative Director, who will serve as a key scientific leader on our Platform team, owning the computational strategy that drives large serine recombinase (LSR) engineering and clinical translation. This role sits at the intersection of protein engineering, multi-omics analysis, and AI/ML-driven design and will lead a high-impact team spanning NGS and computational biology while driving the analytical infrastructure and predictive capabilities needed to advance our proprietary LSR platform from discovery through translation.

Key Responsibilities & Accountabilities:

  • Lead and develop a team of NGS and computational biology scientists, setting technical direction, mentoring team members, and fostering a collaborative, high-performance culture
  • Lead computational efforts to design and optimize LSRs and related genome engineering proteins for genetic medicine applications, integrating sequence-function, structure-function, and protein-DNA interaction datasets to guide engineering campaigns
  • Lead analysis of NGS data from LSR experiments - including amplicon sequencing, WGS, hybrid capture, and long-read sequencing - to quantify on-target efficiency and genome-wide specificity
  • Build, apply, and critically evaluate predictive and generative models for protein variant and library design - including rigorous benchmarking of AI/ML approaches such as protein language models, structure prediction tools, and generative design frameworks
  • Integrate proprietary screening data with public evolutionary and structural datasets to prioritize variants and identify engineering levers for activity, specificity, and developability
  • Oversee the design, implementation, and deployment of robust, scalable computational pipelines for multi-omics data analysis, ensuring accuracy, reproducibility, and maintainability
  • Provide scientific input into platform strategy, translating computational insights into actionable directions for the broader team
  • Partner closely with the Screening, Genome Engineering, and NGS teams to design experiments, interpret complex datasets, and refine engineering hypotheses
  • Contribute to patent filings, regulatory submissions, and publications

Qualifications & Skills:

  • PhD in Computational Biology, Bioinformatics, Protein Engineering, Machine Learning or a related quantitative discipline, with 10+ years or Master's with 14+ years of industry experience
  • Demonstrated research in protein modeling, protein design, or computational biology through publications, preprints, or equivalent industry contributions
  • Hands-on experience applying AI/ML methods to protein variant and library design, including protein language models, structure prediction, and generative design approaches (e.g., AlphaFold2/3, RFdiffusion, ProteinMPNN, ESM)
  • Expert-level proficiency in Python and/or R, with deep familiarity with data science libraries (e.g., Pandas, NumPy, Bioconductor, SciPy, PyTorch, or JAX)
  • Experience with cloud computing platforms and workflow management systems
  • Excellent communication and documentation skills, with a track record of effective collaboration in fast-paced, interdisciplinary environments

Pay Range; $245,000 - $265,000

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