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Cheminformatics Jobs in California (NOW HIRING)

About the role This first cheminformatics hire will design and build the chemistry search engine: the system that exposes our accessible chemical space through query modes fit for how our partners ...

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Cheminformatics information

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$27

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$76

How much do cheminformatics jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for cheminformatics in California is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $47.08 and $67.32 per hour, depending on experience, location, and employer.

How to get into cheminformatics?

To enter cheminformatics, a background in chemistry, computer science, or bioinformatics is essential, along with skills in programming languages like Python or R and familiarity with chemical data formats. Gaining experience through internships, online courses, or advanced degrees such as a master's or Ph.D. can improve job prospects. Knowledge of cheminformatics tools and databases, such as RDKit or ChemAxon, is also beneficial.

What skills and qualifications are needed for cheminformatics?

To thrive in Cheminformatics, you need a solid background in chemistry, computer science, and data analysis, often supported by a relevant degree in chemistry, bioinformatics, or a related field. Proficiency with cheminformatics software (e.g., RDKit, Open Babel), programming languages like Python or Java, and familiarity with databases such as SQL is highly valued. Strong problem-solving skills, teamwork, and clear scientific communication are essential soft skills for success in this interdisciplinary field. These skills ensure the effective development and application of computational tools to solve complex chemical and pharmaceutical research challenges.

What is a cheminformatics?

A Cheminformatics job involves using computational techniques, data analysis, and software tools to manage, analyze, and interpret chemical and molecular data. Professionals in this field apply machine learning, molecular modeling, and database management to support drug discovery, materials science, and other chemistry-related research. They often work in pharmaceutical, biotech, or academic settings, collaborating with chemists and data scientists to accelerate scientific discovery.

What does a cheminformatics do?

In a Cheminformatics position, you'll typically work on projects involving the analysis and management of chemical data, such as building and evaluating molecular models, developing algorithms for virtual screening, or optimizing compound libraries for drug discovery. Daily tasks often include programming, data visualization, collaborating with medicinal chemists or biologists, and contributing to research publications or presentations. You may also be responsible for maintaining database integrity and ensuring the quality of datasets used in computational experiments. The work is both collaborative and analytical, offering exposure to cutting-edge technology in chemical and pharmaceutical research environments.

What are the most commonly searched types of Cheminformatics jobs in California? The most popular types of Cheminformatics jobs in California are:
What cities in California are hiring for Cheminformatics jobs? Cities in California with the most Cheminformatics job openings:
Infographic showing various Cheminformatics job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $115,710 per year, or $55.6 per hour.

Member of the Technical Staff, Cheminformatics

Output Biosciences

San Francisco, CA • On-site

$150K - $350K/yr

Full-time

Medical, Dental, Vision

Posted 8 days ago


Job description

The Role

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier VCs including Y Combinator.

You accelerate the path from a generated molecule to a synthesized compound. This role continues to build the models and computational methods that optimize Output's molecular generation for practical chemistry.

  • You will continue developing and training models that incorporate knowledge of chemical synthesis routes and reactions, steering molecular generation toward molecules that are efficient to synthesize

  • You will build scalable computational tools and methods that evaluate synthetic feasibility across generated molecular libraries, systematically and at scale

  • You will interpret model inputs and outputs in chemistry terms, translating between the language of generative AI and the language of synthesis

  • You will work with the drug discovery and model teams, bringing chemistry expertise to molecular evaluation and candidate prioritization

  • You will build and maintain cheminformatics pipelines for molecular analysis, property calculation, and candidate assessment

About You

You have a PhD in chemistry, computational chemistry, cheminformatics, or a related field with 2+ years of post-doctoral or industry research experience, or a Master's degree with 5+ years of hands-on experience in computational chemistry or cheminformatics

  • You have deep understanding of organic chemistry, synthetic routes, and chemical reactions

  • You have experience training machine learning models on molecular and chemical data, including generative models for chemistry applications

  • You have strong programming skills in Python, with experience building computational pipelines for molecular analysis

  • You understand drug-like properties and medicinal chemistry principles, and how molecular structure relates to biological activity and synthetic feasibility

  • You are comfortable working at the boundary of chemistry and machine learning, translating constraints and insights between the two

Bonus Points

  • You have experience with retrosynthetic analysis or computational synthesis planning

  • You have experience with molecular property prediction or QSAR modeling

  • You have publications at top-tier venues (e.g., NeurIPS, ICML, ICLR) or relevant chemistry and cheminformatics journals

  • You have drug discovery experience, particularly in hit-to-lead or lead optimization

  • You have experience evaluating or working with generative molecular models

Our Values

❤️ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.

🏆 Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.

🚀 Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.

📣 Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.

🎮 Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.

What We Offer
  • We encourage new and different ideas, creativity and contrarian thinking

  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you

  • You own your day-to-day management. What we care about is that we all hit our milestones

  • Competitive salary and equity in a growing, well-funded startup

  • Excellent medical, dental, and vision coverage

Compensation Range: $150K - $350K