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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 ...

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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How much do computational intelligence jobs pay per year?

As of Sep 9, 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 are popular job titles for Computational Intelligence?

Popular job titles for Computational Intelligence:

Computational Intelligence jobs near you
Infographic showing various Computational Intelligence job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.

Scientific Director, Computational Chemistry

San Diego, CA • On-site

Neurocrine Biosciences, Inc.
Biotechnology Research and Development • 1 - 5K employees
Learn more about Neurocrine Biosciences, Inc.external

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

Who We Are:
Neurocrine Biosciences is a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in Prader-Willi syndrome, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visit neurocrine.com, and follow the company on LinkedIn, X, Facebook and YouTube. (*in collaboration with AbbVie)
About the Role:
Develops and leads innovative computational strategies that accelerate drug discovery across a Research and Development portfolio from early discovery through clinical candidate nomination. Integrates computational approaches including molecular modeling, cheminformatics, molecular dynamics, free energy perturbation, and AI/ML-driven drug design to support data-driven decision-making and the optimization of therapeutics across multiple modalities, including small molecules and biologics. Working within multidisciplinary teams of medicinal chemists, structural biologists, pharmacologists, data scientists, and ADME/Tox representatives, provides molecular-level insight and computational expertise to inform compound design, potency and selectivity optimization, and de-risk design hypotheses. Represents Computational Chemistry across Research and Development functions and seamlessly integrates internal and external technologies, collaborations, and resources to advance Neurocrine's drug discovery strategy. Supports senior leadership through long-term strategic planning, technology innovation, resource management, and the continuous evolution of computational capabilities to ensure effective achievement of scientific and operational objectives. Serves as a mentor and scientific leader, fostering the development of junior scientists and promoting excellence within the computational chemistry function.
Your Contributions (include, but are not limited to):
  • Develops, implements, and enforces scientifically sound computational chemistry strategies that support drug discovery programs from target validation through lead optimization and candidate selection
  • Leads the application of molecular modeling, structure-based drug design, ligand-based design, and AI/ML approaches to enable compound design and optimization
  • Partners closely with medicinal chemistry, structural biology, pharmacology, and data science teams to integrate computational insights into project strategies and decision-making
  • Evaluates, interprets, and communicates computational results, proactively providing strategic direction to project teams and senior management on compound design and program progression
  • Drives innovation through the evaluation and implementation of emerging computational technologies, including generative chemistry, predictive modeling, and large-scale data analysis
  • Establishes and oversees computational workflows, best practices, and reproducible methods to support high-quality and efficient research
  • Represents Computational Chemistry across R&D teams and contributes to program strategy, portfolio discussions, and governance forums
  • Provides strategic oversight for external collaborations, including academic partnerships, technology vendors, and contract research organizations (CROs)
  • Contributes to intellectual property strategy, scientific publications, and external presentations
  • Participates in selecting, developing, and evaluating personnel to ensure efficient operation and growth of the team
  • Maintains current knowledge of industry trends, emerging technologies, and scientific advancements in computational chemistry and drug discovery
  • Other tasks as assigned

Requirements:
  • Bachelors in chemistry or related field AND 12+ years of experience applying computational chemistry in a drug discovery setting OR
  • Masters in computational chemistry or related field AND 10+ years of experience applying computational chemistry in a drug discovery setting OR
  • PhD in computational chemistry, organic chemistry or a related field AND 8+ years of experience applying computational chemistry in a drug discovery setting
  • Proven leadership experience, including managing and developing scientific teams
  • Applies understanding of the team's place in the larger organization, and discusses changes, progress, and issues as they relate to other areas
  • Ability to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiency.
  • Deep expertise in molecular modeling, structure-based drug design, and cheminformatics methods
  • Demonstrated experience applying computational approaches to small molecules and/or emerging modalities
  • Experience integrating computational chemistry into multidisciplinary drug discovery teams
  • Strong track record of scientific achievement, including publications and/or patents
  • Experience with AI/ML approaches in drug discovery, including predictive modeling and generative design
  • Deep expertise in ligand and structure-based drug design related to small molecules as well as other modalities including: peptides, biologics and targeted protein degradation
  • Familiarity with CNS drug discovery or neuroscience-focused research
  • Experience working with cloud computing and high-performance computing environments including programming computational workflows in Knime or equivalent.
  • Expertise with industry-standard computational chemistry platforms (e.g., Schrödinger, OpenEye, MOE, or similar)
  • Demonstrated ability to influence strategy across multiple functions and organizational levels
  • Demonstrates strategy development and implementation within areas of responsibility
  • Possesses expert knowledge of own function and broad knowledge of multiple functions and impact on business
  • Proven leadership skills, including influencing across many levels of the organization
  • Maintains broad knowledge of scientific principles and theories and possesses intellectual mastery of multiple scientific areas

#LI-DM1
Neurocrine Biosciences is an EEO/Disability/Vets employer.
We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don't line up to exactly what we have outlined in the job description.
The annual base salary we reasonably expect to pay is $218,200.00-$298,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills. In addition, this position offers an annual bonus with a target of 35% of the earned base salary and eligibility to participate in our equity based long term incentive program. Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.

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