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Chemistry Python Jobs in California (NOW HIRING)

Albert Invent

Staff AI/ML Platform Engineer

Oakland, CA · On-site

Albert Invent is on a mission to digitalize the world of chemistry using data and machine learning ... Responsibilities : • Design and build high-performance Python APIs that serve models, manage ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

... between materials/chemistry, data science, and computer science to help us develop a software ... learning Engineering * python (advanced) * Linux/RedHat/Bash (advanced) * MongoDB/JSON ...

Nvidia

Senior Applied Research Scientist

Santa Clara, CA · On-site

$115K - $147K/yr

... chemistry. The ideal candidate has a strong background in the combination of modern machine ... Excellent software engineering and design instincts in Python, C++, or similar. * Outstanding ...

Wood Plc

Marine/Aquatic Scientist

San Diego, CA · On-site

... such as R and/or python, PRISM, GIS software (ArcGIS), and MATLAB is strongly preferred ... Reviewing and analyzing sediment and water chemistry data and toxicology laboratory results

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How much do chemistry python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for chemistry python in California is $57.85, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Chemistry Python position, and why are they important?

To thrive as a Chemistry Python professional, you need a solid background in chemistry along with strong proficiency in Python programming and data analysis. Familiarity with scientific computing libraries like NumPy, pandas, RDKit, and experience with lab instrumentation software or cheminformatics platforms is commonly required. Critical thinking, problem-solving aptitude, and effective communication help you translate scientific needs into practical code solutions and facilitate team collaboration. Mastering these competencies ensures the ability to automate, analyze, and optimize chemical research and processes efficiently.

What does a Chemistry Python do?

As a Chemistry Python specialist, your daily tasks will typically involve writing and optimizing Python scripts to analyze chemical data, automate lab processes, or model molecular structures. You may also be responsible for integrating laboratory instruments with software, creating custom data visualizations, and collaborating with chemists or researchers to address experimental challenges. Regularly, you'll participate in team meetings to discuss project goals and report on analysis results, ensuring that computational approaches align with scientific objectives. This hybrid role blends hands-on coding with applied chemistry, making each day varied and collaborative.

What is a Chemistry Python?

A Chemistry Python job involves using Python programming to analyze chemical data, develop simulations, or automate laboratory processes. Professionals in this role may work with molecular modeling, data visualization, computational chemistry, or machine learning to solve chemical problems. Industries such as pharmaceuticals, materials science, and environmental science often seek experts who can apply Python to chemistry-related challenges. Strong programming skills, knowledge of chemistry concepts, and experience with scientific libraries like RDKit, NumPy, and SciPy are typically required.

What are popular job titles related to Chemistry Python jobs in California? For Chemistry Python jobs in California, the most frequently searched job titles are:
What job categories do people searching Chemistry Python jobs in California look for? The top searched job categories for Chemistry Python jobs in California are:
Chemistry Python jobs near you
Infographic showing various Chemistry Python job openings in California as of August 2026, with employment types broken down into 56% Part Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $120,336 per year, or $57.9 per hour.

Senior Machine Learning Scientist I, Drug Discovery Analytics

Revolution Medicines

Redwood City, CA • Hybrid

$112K - $153K/yr

Other

Re-posted 11 days ago

Job description

The Opportunity:

We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence. This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.

The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research. This position requires both strong machine learning expertise and the ability to collaborate effectively with experimental scientists to solve real-world scientific problems.

The successful candidate will contribute to building a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform and accelerate one another.
Key responsibilities include:

  • Develop Predictive Models for Drug Discovery.

  • Independently Design and implement machine learning models to predict compound activity, selectivity, and developability.

  • Identify and Develop predictive frameworks for ADME/Tox, target engagement, and phenotypic screening outcomes.

  • Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.

  • Evaluate model performance and apply appropriate validation strategies.

  • Work with data engineers and ML engineers to integrate models into discovery pipelines.

  • Analyze Complex Scientific Data.

  • Perform exploratory data analysis on chemical, biological, and phenotypic datasets.

  • Integrate heterogeneous datasets including:

  • Chemical structure and screening data.

  • Structural biology and molecular simulation outputs.

  • Collaborate with Research Scientists.

  • Partner with medicinal chemists to support compound design and lead optimization.

  • Work with biologists to interpret experimental results and identify new target opportunities.

  • Translate scientific questions into computational modeling strategies.

Required Skills, Experience and Education:

  • PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field.

  • 6-10 years of experience applying machine learning or advanced analytics to scientific datasets.

  • Python and scientific computing libraries (NumPy, Pandas, SciPy).

  • Machine learning frameworks (PyTorch, TensorFlow, scikit-learn).

  • Model development, validation, and evaluation methods.

  • Data visualization and exploratory analysis.

  • Experience working with noisy and incomplete experimental datasets.

Preferred Skills:

  • Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).

  • Multi-omics data analysis.

  • Cloud computing environments.

  • MLOps or scalable model deployment. 

    #LI-Hybrid  #LI-LN1

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