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Generative Ai Chemistry Jobs (NOW HIRING)

Uncountable's users are solving critical problems in materials science, chemistry, biotech, and ... Strong interest in Generative AI * Solid computer science and software engineering fundamentals ...

We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI ... Develop forward surrogate models for CVD/ALD/etch chambers mapping geometry, gas chemistry, flow ...

Job Summary : Real Chemistry is a global agency focused on transforming healthcare through ... Responsibilities : • Identify high-value opportunities to apply generative AI across workflows ...

At Real Chemistry, making the world a healthier place isn't just an aspiration-it's our everyday ... Identify high-value opportunities to apply generative AI across workflows, deliverables, and ...

Our platform, EvoGen, is both generative and predictive. Rather than focusing on structure alone ... Exposure to interdisciplinary work (e.g., biology, chemistry, physics, or other scientific domains ...

Senior AI Project Manager

Boston, MA · On-site +1

$120K - $135K/yr

At Real Chemistry, making the world a healthier place isn't just an aspiration-it's our everyday ... Basic familiarity with AI tools and platforms (generative AI, automation, data pipelines, or ...

Director, AIRx Medicinal Chemistry

Boston, MA · On-site +1

$177K - $278K/yr

You will work at the frontier of AI-enabled molecular design: evaluating generative proposals ... Just expert chemistry thinking applied at maximum velocity. The AIRx Medicinal Chemist is a ...

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How much do generative ai chemistry jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for generative ai chemistry 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 Generative AI in Chemistry?

Generative AI in chemistry refers to the use of artificial intelligence models, particularly generative models like deep learning neural networks, to design new molecules, predict chemical properties, and accelerate drug discovery. These AI systems can analyze vast chemical datasets to propose novel compounds with desired characteristics, reducing the time and cost of traditional experimental methods. By leveraging machine learning, generative AI helps chemists explore chemical space more efficiently and discover innovative solutions in pharmaceuticals, materials science, and other chemistry fields.

What are common challenges faced by professionals working in Generative AI Chemistry roles?

Professionals in Generative AI Chemistry often encounter challenges such as integrating domain-specific chemical knowledge with advanced AI techniques, ensuring the quality and interpretability of generated molecular structures, and validating AI-generated compounds against real-world experimental data. Collaboration with chemists, data scientists, and computational researchers is vital to bridge gaps between theoretical models and practical applications. Staying updated with rapidly evolving AI methodologies and chemical informatics tools is also essential for success in this interdisciplinary field.

Which 3 jobs will survive AI?

Generative AI chemistry roles that involve complex problem-solving, experimental design, and interpretation of results are likely to persist, as these tasks require specialized scientific knowledge and critical thinking. Jobs that focus on creative, strategic, or highly interpersonal skills, such as research scientists, scientific consultants, and regulatory specialists, are also expected to remain in demand despite AI advancements.

What are 5 potential jobs for chemistry?

Potential jobs for chemistry graduates include roles such as chemical researcher, quality control analyst, laboratory technician, process development scientist, and environmental chemist. These positions often require knowledge of laboratory techniques, data analysis, and safety protocols, and may involve working in industries like pharmaceuticals, manufacturing, or environmental science.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI researcher, machine learning engineer, data scientist, or AI developer, often requiring skills in programming, neural networks, and AI frameworks. These positions are typically found in technology companies, research labs, or industries applying AI for automation and innovation.

What are the key skills and qualifications needed to thrive as a Generative AI Chemistry Specialist, and why are they important?

To thrive as a Generative AI Chemistry Specialist, you need a strong background in computational chemistry, machine learning, and data analysis, typically supported by an advanced degree in chemistry, computer science, or related fields. Experience with programming languages (such as Python), deep learning frameworks (like TensorFlow or PyTorch), and cheminformatics tools (such as RDKit) is essential. Excellent problem-solving abilities, strong collaboration skills, and clear scientific communication are critical soft skills for success in this interdisciplinary field. These competencies enable the effective design and implementation of AI-driven solutions for chemical discovery, accelerating research and innovation.

What is the difference between Generative Ai Chemistry vs Data Scientist?

AspectGenerative Ai ChemistryData Scientist
Required CredentialsAdvanced degrees in Chemistry, AI, or related fieldsDegree in Data Science, Statistics, or Computer Science
Work EnvironmentResearch labs, pharmaceutical companies, AI startupsTech firms, finance, healthcare, consulting
Industry UsageDrug discovery, chemical modeling, AI-driven chemistry researchData analysis, predictive modeling, business insights

Generative Ai Chemistry focuses on applying AI techniques to chemical research and drug development, often requiring chemistry and AI expertise. Data Scientists analyze data across various industries, including tech and finance, to extract insights. While both roles involve AI and data skills, Generative Ai Chemistry is specialized in chemical applications, whereas Data Scientists have broader industry applications.

Will chemistry survive AI?

Generative AI in chemistry can automate data analysis, molecular design, and research processes, enhancing productivity and innovation. While AI tools are transforming the field, traditional chemistry skills remain essential for experimental validation and interpretation, making the profession likely to evolve rather than disappear.
More about Generative Ai Chemistry jobs
What cities are hiring for Generative Ai Chemistry jobs? Cities with the most Generative Ai Chemistry job openings:
What states have the most Generative Ai Chemistry jobs? States with the most job openings for Generative Ai Chemistry jobs include:
Infographic showing various Generative Ai Chemistry job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.
Platform Engineer - Generative AI

Platform Engineer - Generative AI

Uncountable

New York, NY • On-site

$120K - $160K/yr

Full-time

Medical, Dental, Retirement

Re-posted 28 days ago


Job description

Thank you for your interest in Uncountable Engineering!
Description
Uncountable is seeking driven software engineers with a focus on Generative AI deployment in software.
Uncountable's software platform is used by scientists in leading scientific R&D organizations to structure and analyze experimental data. Uncountable's users are solving critical problems in materials science, chemistry, biotech, and other scientific fields, and our goal is to help them solve those problems faster.
Your role will be to bring the full power of ongoing advances in LLMs to bear on real-world problems and friction faced by scientists every day. You'll be building AI-powered search and visualization tools, next-generation UX that use multimodal LLMs as the UI, intelligent research assistants, and more. This is a unique opportunity to join the front-line effort to accelerate scientific progress using LLMs and generative AI.
Primary Responsibility
You will be responsible for:
- Building specific LLM powered features end-to-end, including both LLM-specific tasks (prompting, optimizing latency, tuning/testing behavior) and traditional fullstack development tasks (coding frontends/backends, designing APIs and databases)
- Developing a great in-house LLM stack to serve the evolving needs of our product (API integration, testing, observability, caching, infrastructure for fine-tuning and inference, etc)
Uncountable has a strong culture of continuous deployment and fast iteration cycles. You'll expect to ship your work early and often to Uncountable's users and iterate based on their feedback.
Many of the features you build will represent new and unprecedented ways to use software, so you'll wear various hats as a designer, researcher, engineer, product manager, and whatever else is needed to create an amazing product. This is a great role for someone who is looking to grow their skills and perspective quickly, or who wants to found their own company in the future.
Salary Range: $120K-$160K + Equity
Requirements
  • 2 years of development experience
  • Strong interest in Generative AI
  • Solid computer science and software engineering fundamentals

Preferred Qualifications
  • B.S. in computer science
  • Experience shipping software incorporating Generative AI to users (e.g. started an LLM startup or shipped a side project with real usage)
  • Familiarity with fullstack web development

Our Current Stack
  • Backend: Flask (Python), Postgres
  • Frontend: React (Typescript), Redux, Sass

Benefits
  • Competitive Salary and Equity
  • Health and Dental Insurance
  • 401K with Employer Contribution

What's next? Learn more about Interviewing at Uncountable
Learn more about our engineering team: Check out our blog