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Ai For Science Jobs in Ohio (NOW HIRING)

Capgemini Invent

$68.34 - $91.12/hr

... Data Science & Analytics * Ideation, Co‑creation und Rapid‑Prototyping in unserer agilen ... AI for Customer Experience oder AI Software Development * Fundierte Expertise in der Entwicklung ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

Sony

$50/hr

Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human ... You will receive support from internal scientists and engineers in your efforts. Required ...

Redcare Pharmacy

Redcare Pharmacy is seeking a Product Director for Conversational AI to lead the product strategy ... data science. Join us in shaping a collaborative work environment dedicated to healthcare ...

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Ai For Science information

What is AI for Science?

AI for Science refers to the application of artificial intelligence and machine learning techniques to accelerate scientific discovery and research. By leveraging large datasets, complex models, and advanced computational methods, AI helps scientists analyze data, identify patterns, simulate experiments, and make predictions across various scientific fields such as biology, chemistry, physics, and climate science. This approach can significantly speed up research, uncover new insights, and solve problems that were previously too complex or time-consuming for traditional methods.

How does collaboration typically work between AI for Science professionals and domain experts in research teams?

AI for Science professionals frequently work closely with experts in fields such as biology, chemistry, or physics to identify scientific problems that can benefit from machine learning techniques. Collaboration usually involves regular meetings to translate complex scientific challenges into data-driven models, sharing domain knowledge, and iteratively refining solutions. Effective communication and a willingness to bridge gaps between computational and scientific perspectives are essential. This interdisciplinary teamwork not only enhances the impact of AI solutions but also fosters ongoing learning and innovation.

What are the key skills and qualifications needed to thrive as an AI for Science specialist, and why are they important?

To thrive as an AI for Science Specialist, you need a strong background in computer science, mathematics, and scientific domains, often supported by advanced degrees (e.g., PhD or MSc) in relevant fields. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools, and familiarity with high-performance computing environments are typically required. Critical thinking, interdisciplinary collaboration, and effective communication are crucial soft skills for translating scientific problems into AI solutions. These skills are vital for developing innovative models, ensuring research rigor, and enabling impactful scientific discoveries.

What is the difference between Ai For Science vs Data Scientist?

AspectAi For ScienceData Scientist
Required CredentialsDegree in Science, Computer Science, or related fields; knowledge of AI and machine learningDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, scientific institutions, tech companies focused on scientific applicationsCorporate, tech firms, finance, healthcare, and other industries analyzing data
Industry UsageApplied to scientific research, simulations, and experimental data analysisUsed for data analysis, predictive modeling, and business insights

Ai For Science focuses on applying AI techniques to scientific research and experiments, often requiring a background in science and specialized knowledge of AI. Data Scientists analyze large datasets across various industries to extract insights and build models. While both roles involve AI and data analysis, Ai For Science is more research-oriented within scientific contexts, whereas Data Scientists work across diverse sectors on data-driven decision making.

What are popular job titles related to Ai For Science jobs in Ohio?

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What job categories do people searching Ai For Science jobs in Ohio look for?

The top searched job categories for Ai For Science jobs in Ohio are:

What cities in Ohio are hiring for Ai For Science jobs?

Cities in Ohio with the most Ai For Science job openings:

Ai For Science jobs near you
Infographic showing various Ai For Science job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution.

BN31PT-AI R&D for Science

Chemical Abstracts Service

Columbus, OH • On-site

Part-time

Posted 19 days ago

Job description

CAS uses intuitive technology, unparalleled scientific content, and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for over 117 years, has helped innovators mine, assess, and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious, and strives to make scientific insights accessible to innovators worldwide.
CAS is currently seeking an Academic Year Undergraduate Intern in AI R&D for Science. This is a 5-6-month placement for the 2026 fall (August-December) semester at our headquarters in Columbus, Ohio.
This internship is designed for undergraduate students in the chemical, biological, biomedical, physical, and materials sciences - or in computer engineering or data science - with an interest in applied research and development in AI for science. The Intern will work on a defined project - such as a modeling approach, data pipeline, or algorithm evaluation - running experiments and analyses under the mentorship of the CAS Data Analytics and Insights team, which provides regular feedback and guidance. It concludes with a technical findings report presented to the immediate team.
Job Accountabilities:
  • Support project work in a defined AI for science project area (e.g., a modeling approach, data pipeline, or algorithm evaluation)
  • Run experiments, benchmarks, or evaluations on models and datasets as directed
  • Assist with data preparation, cleaning, and analysis
  • Document findings and contribute to technical writeups
  • Present a technical findings report to the immediate team
  • Perform other duties as assigned

Qualifications:
  • Currently pursuing an undergraduate degree in a relevant discipline, such as chemistry, biology, biomedical science, physics, materials science, data science, computer science, engineering, or artificial intelligence
  • Interest in applied research and development in AI for science
  • Experience with Python or R, and SQL
  • Demonstrated analytical, multi-tasking, problem solving, and planning skills
  • Ability to interpret reports, analyze trends and provide insights
  • Strong written and verbal communication skills
  • Ability to work effectively in an open, agile environment as well as independently
  • Experience working with chemistry, life science, and/or materials science data preferred, but not required

Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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