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Chemistry Ai Jobs (NOW HIRING)

1910

Computational Theoretical Chemist II

Boston, MA · On-site

Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...

1910

Computational Theoretical Chemist III

Boston, MA · On-site

  • PTO

Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Manage day-to ...

1910

Computational Theoretical Chemist III

Boston, MA · On-site

Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as ...

1910

Computational Theoretical Chemist I

Boston, MA

Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as ...

1910

Computational Theoretical Chemist I

Boston, MA

Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology * Partner to ...

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How much do chemistry ai jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for chemistry ai in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What is a Chemistry AI?

A Chemistry AI refers to artificial intelligence systems and tools designed to assist with tasks in the field of chemistry. These systems can analyze chemical data, predict molecular properties, automate experiments, and help discover new compounds. By leveraging machine learning and advanced algorithms, Chemistry AI can accelerate research, reduce costs, and improve the accuracy of chemical analyses. It is increasingly being used in pharmaceuticals, materials science, and academic research.

What are the key skills and qualifications needed to thrive as a Chemistry AI specialist?

To thrive as a Chemistry AI Specialist, you need a strong background in chemistry, data science, and machine learning, typically supported by an advanced degree in chemistry, computer science, or related fields. Expertise in programming languages (such as Python or R), familiarity with cheminformatics tools, and experience with AI frameworks like TensorFlow or PyTorch are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication set top candidates apart in this role. These skills enable the development of innovative AI solutions for chemical research, accelerating discoveries and improving decision-making in scientific environments.

How does a professional working in Chemistry AI typically collaborate with interdisciplinary teams in research or industry settings?

Professionals in Chemistry AI often work closely with chemists, data scientists, software engineers, and sometimes product managers to develop and implement AI-driven solutions for chemical research or industrial processes. Collaboration usually involves regular team meetings, sharing data and insights, and integrating AI models into laboratory workflows. This interdisciplinary approach helps ensure that AI tools are not only technically sound but also practically valuable for solving real-world chemical problems. Effective communication and an understanding of both chemistry and AI concepts are key to successful teamwork.
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Chemistry Ai jobs near you
Infographic showing various Chemistry Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.

Research Scientist, Life Sciences (Chemistry)

Anthropic

San Francisco, CA

Full-time

Posted 2 days ago

New

Job description

About the role

Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep medicinal chemistry expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert medicinal chemist with hands-on experience designing, synthesizing, purifying, and characterizing small molecules. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules and AI-proposed synthetic routes against real chemistry.

This role is fully on-site in the San Francisco Bay Area.

Key responsibilities
  • Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
  • Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
  • Evaluate AI-designed molecules and AI-proposed synthetic routes, drive them to experimental readout, and feed results back to research teams
  • Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
  • Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
  • Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
  • PhD in chemistry
  • Demonstrated medicinal chemistry experience, including SAR-driven design and optimization of small molecules, with recent, sustained hands-on synthetic work
  • Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
  • Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
  • 5+ years of medicinal chemistry experience beyond the PhD
  • Track record of advancing programs from hit identification through lead optimization
  • Experience directing synthetic chemistry activities at contract research organizations
  • Computational chemistry, cheminformatics, or coding skills, for example Python with RDKit or pandas for data analysis and automation
  • Experience using AI or ML tools in the life sciences
  • Publications and/or patents demonstrating scientific impact

Apply