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Ai For Science Jobs in California (NOW HIRING)

... for science โ€ข Perform research that advances the state-of-the-art in AI for chemistry and ... materials science โ€ข Work closely with internal and external partners to realize impact of methods ...

PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least one main conference paper at ICML, NeurIPS, or ICLR . * Strong preference for candidates with 2+ ...

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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 cities in California are hiring for Ai For Science jobs?

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

Infographic showing various Ai For Science job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 89% In-person, and 11% Remote job distribution.

Partnership Manager, AI for Science

San Francisco, CA โ€ข On-site

Anthropic
Software Developmentย โ€ขย 11 - 50 employees

Full-time

Posted 4 days ago


Job description

About Beneficial Deployments

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible.

About the role

We're looking for a Program Manager to grow our AI for Science Program. You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic's life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains.

This is a foundational role where you'll shape our strategy for deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine deep relationships in sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI.

Responsibilities:
  • Own and execute Anthropic's AI for Science API credit strategy, managing partnerships with academic labs, small start-ups, and potentially foundations

  • Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building

  • Serve as the primary relationship owner for AI for Science, coordinating with Anthropic's Applied AI, product, and GTM teams to deliver impactย 

  • Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities

  • Manage timelines, resource requirements, and regular reporting associated with the AI for Science program

  • Work closely with partners to understand their technical and operational needs and translate them into deployment plans

  • Comfort with early technical prototyping and testing to help learn alongside and unblock partners

  • Set a research agenda for understanding AI's impact on individual labs across domains

  • Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem

  • Represent Anthropic at global scientific convenings and conferences

  • Help shape team processes and culture as we scale our Life Science work

You may be a good fit if you have:

  • 7+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress

  • 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives

  • Deep relationships and credibility in the life sciences domains: you are familiar with the key players at major universities, research institutes, and tools companies

  • Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams

  • Analytical mindset with experience using data to inform strategy and measure impact

  • Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies

  • An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles

  • A genuine drive to maximize impact for underserved communities

  • High agency and comfort with ambiguity; you thrive when you're building the plane while flying it

  • Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities

  • Willingness to travel for occasional partner visits and conferences

Strong candidates may also have:
  • Experience working with philanthropic foundations on science fundingย 

  • Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product

  • Background in wet lab research with an ability and aptitude for scientific communications