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Computational Intelligence Jobs (NOW HIRING)

... associate computational biologist to join in efforts to develop and apply cutting-edge genomic ... intellectual contributions. We welcome all levels of input from our ACBs, including input on the ...

ENGR SR COMPUTATIONAL LINGUIST

Pittsburgh, PA · On-site +1

$106K - $145K/yr

Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in health ... Senior Computational Linguist (Solventum) 3M Health Care is now Solventum At Solventum, we enable ...

Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in health ... Senior Computational Linguist (Solventum) 3M Health Care is now Solventum At Solventum, we enable ...

Computational Designer

Los Angeles, CA · On-site +1

$75K - $110K/yr

Computational Designers research initiatives and actively contribute to initiatives in the areas of Artificial Intelligence, Machine Learning, and Generative Design as well as other emergent ...

Computational Designer

Dallas, TX · On-site +1

$75K - $110K/yr

Computational Designers research initiatives and actively contribute to initiatives in the areas of Artificial Intelligence, Machine Learning, and Generative Design as well as other emergent ...

Computational Designer

Tustin, CA · On-site +1

$75K - $110K/yr

Computational Designers research initiatives and actively contribute to initiatives in the areas of Artificial Intelligence, Machine Learning, and Generative Design as well as other emergent ...

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 ...

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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 Jul 10, 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, lead data scientist, or executive role, often requiring advanced skills in machine learning, deep learning, and programming. Such roles usually involve significant responsibilities, leadership, and expertise, and may be found in large tech companies or specialized AI firms with competitive compensation packages. These positions often demand advanced degrees, extensive experience, and a strong track record of innovation in AI development.

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

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.

Which 3 jobs will survive AI?

Computational intelligence professionals, data scientists, and AI specialists are likely to continue thriving as their roles involve designing, developing, and managing AI systems that require advanced analytical skills and domain expertise. These jobs demand critical thinking, creativity, and understanding of complex algorithms, making them less susceptible to full automation. Continuous learning and staying updated with new tools and techniques are essential for long-term job security in this field.

What jobs in the US pay 300,000 a year?

In the field of computational intelligence, senior roles such as machine learning engineers, data science directors, and AI research leads can earn $300,000 or more annually, especially with extensive experience, advanced degrees, and expertise in deep learning, neural networks, and big data tools. These positions often require strong programming skills, advanced certifications, and leadership responsibilities within tech companies or research institutions.

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.

What are the highest paying AI jobs?

High-paying AI jobs for computational intelligence professionals include roles such as AI research scientist, machine learning engineer, and data scientist, often requiring advanced degrees and expertise in deep learning, neural networks, and programming languages like Python. Salaries can exceed $150,000 annually, especially in tech hubs or with specialized skills and certifications. Senior positions or roles in industries like finance, healthcare, and autonomous systems tend to offer the highest compensation.
More about Computational Intelligence jobs
Infographic showing various Computational Intelligence job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $100,573 per year, or $48.4 per hour.
Associate Computational Biologist

Associate Computational Biologist

Dana-Farber Cancer Institute

On-site, Remote

Full-time

Re-posted 20 hours ago


Dana-Farber Cancer Institute rating

8.3

Company rating: 8.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

A computationally-oriented team led by Rameen Beroukhim and Simona Dalin at the Dana-Farber Cancer Institute and Broad Institute seeks an associate computational biologist to join in efforts to develop and apply cutting-edge genomic algorithms and analyses to characterize genomic rearrangements in cancers and normal tissues, and better understand how errors in double strand break (DSB) repair result in these rearrangements.
This individual will contribute to a lively team and wider community of laboratory scientists, computational biologists, cancer geneticists, and software engineers dedicated to discovering and understanding the alterations in the cancer genome and discovering cancer vulnerabilities that could lead to new therapeutics.
We are looking for a person who wants to lead their projects, think independently and make original intellectual contributions. We welcome all levels of input from our ACBs, including input on the conduct of analyses but also on new analyses to conduct and new questions to ask. ACBs in our laboratory regularly present their own work and contribute to the writing of papers and grant applications.
We view an ACB as a mentored training position, with a primary goal being their professional development. Our prior ACBs have successfully pursued a variety of subsequent career directions including obtaining MDs, PhDs, and MD-PhDs on the paths to careers in both academia and industry.
The ideal candidate will have extensive programming ability and a strong background in mathematics and statistics with a deep interest and background in biology. The candidate is required to have a B.S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences; prior research in one of these areas (for example, a summer research program or several hours a week in a lab as an undergraduate); a strong background in programming, preferably in R and BASH; knowledge of statistical methods either through coursework or research; and excellent written & verbal communication skills. They must be a self-starter with excellent problem-solving, organizational and people skills and be able to collaborate closely with other members of a research team. We prefer the candidate to have exposure to an analytic field such as bioinformatics, computational biology, machine learning, or statistics and experience working in cloud computing and UNIX environments.
A minimum 2 year commitment is required.
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
  • Data Processing Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor
  • Data Analysis: Follows a detailed manual to perform routine
  • Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates
  • Manuscript Preparation: Helps prepare tables and figures
  • Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:
  • Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R
  • Familiarity with principles of experimental design and the modern data analysis paradigms is required
  • Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight
  • Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts
  • Excellent analytical, organizational and time management skills

MINIMUM JOB QUALIFICATIONS:
The position requires a bachelor's degree in a STEM field, with no prior experience necessary.
SUPERVISORY RESPONSIBILITIES: None
PATIENT CONTACT: None
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
EEO Poster
Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$60,000.00 - $67,466.00

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About Dana-Farber Cancer Institute

Sourced by ZipRecruiter

Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Industry

Health care and social assistance

Company size

1,001 - 5,000 Employees

Headquarters location

Boston, MA, US

Year founded

1947