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Ai For Science Jobs in California (NOW HIRING)

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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 California?

For Ai For Science jobs in California, the most frequently searched job titles are:

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

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

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

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

Ai For Science jobs near you
Infographic showing various Ai For Science job openings in California as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, and 7% Contract. Highlights an 83% In-person, 3% Hybrid, and 14% Remote job distribution.

AI for Science Research Fellow -- Part-Time

Rubber Group

San Francisco, CA • On-site

$2.4K/mo

Other

Posted 3 days ago

New

Job description

Date posted: 2026-07-21
Start date: 2026-08-01
Location: 2261 Market Street STE 96808, San Francisco, California 94114, US
Full/Part time: Part Time

  • OpenRefinery is a data infrastructure company focused on improving AI for Science.
  • We aggregate real-world data from tools, experts, and operational environments, then refine them into evaluation data, training sets, and reward signals to train AI models in helping with scientific discovery.
The STEM Research Program
  • The Program is designed to help PhD Candidates and early-career researchers with improving research productivity via better AI tools and training.
What we offer
  • $2,400 annual ($200 per month) AI tool grant. Use it for Codex and Claude Code subscriptions, or any other study- or research-related tools.
  • AI research resources, tools, and workshops for better science: A hands-on workshop on practical agentic coding workflows, prompt patterns that work for research tasks, and how strong PhDs are using frontier models today. Recorded sessions, live Q&A, and office hours. Based on your own AI usage sessions, we will also provide self-improving AI agents, along with evaluation and benchmarking research results.
  • Career development opportunities. Program participants will be first in line for future opportunities with OpenRefinery and our frontier AI lab partners, including but not limited to frontline project work, internships, part-time roles, and recommendation letters.
ResponsibilitiesWhat we ask
  • No need to spend extra time on evaluations or assigned tasks. Just use AI tools such as Claude Science, Claude Cowork, ChatGPT Codex, or other AI tools as you normally would in your regular work.
  • One thing: roughly 5-10 “traces” where AI models have failed to give you the perfect answer, or where they needed your detailed guidance to arrive at the correct answer, or anything you feel would be helpful for understanding that subject.
  • A “trace” is the raw record of a session with Codex/Claude Code: your prompts, tool calls, model outputs, and files touched. You review what already exists from real work and choose what to share.

How it works

How the data is used

  • Approved bundles are used by AI labs to evaluate and improve their models. We do not sell them to other vendors, we do not use them for advertising, and we do not publish them publicly. Any use beyond research will require new consent from you.

Current members and backers

  • PIs, PhD Candidates, postdocs, and other researchers from 30+ institutions, including Stanford, Berkeley, UCSF, MIT, Cornell, University of Wisconsin–Madison, University of Texas, ETH Zurich, National University of Singapore, The University of Sydney and more.

(Current Participants as of Jul 10, 2026)

AI for Science Workshop (hold biweekly)
  • Jul 17th, 2026: Overall Tools Comparison + Self-Improving AI Agent. Replay via https://youtu.be/fdZT3zSGVp8
Requirements

PhD, PhD Candidates, Postdoc Researchers.

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