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Chemistry Python Jobs in California (NOW HIRING)

Mat3ra

Head of Engineering

Walnut Creek, CA · On-site

$130K - $200K/yr

Overview We look for Senior Engineers excited about bridging the gap between materials/chemistry ... Python (advanced) * Linux/RedHat/Bash (advanced) * AWS/Azure/GCP (advanced) * Docker/Vagrant ...

Mat3ra

Cloud HPC Engineer

Walnut Creek, CA · On-site +1

$130K - $200K/yr

Python (advanced) * Linux/RedHat/Bash (advanced) * AWS/Azure/GCP (advanced) * OpenMP/MPI/CUDA ... of chemistry/materials science * work with advanced electronic structure codes (VASP, Quantum ...

Mat3ra

☁ Cloud HPC Engineer ☁

Walnut Creek, CA · On-site

$130K - $200K/yr

Python (advanced) * Linux/RedHat/Bash (advanced) * AWS/Azure/GCP (advanced) * OpenMP/MPI/CUDA ... of chemistry/materials science * work with advanced electronic structure codes (VASP, Quantum ...

Mat3ra

☁ Cloud HPC Engineer ☁

Walnut Creek, CA · On-site

$130K - $200K/yr

Python (advanced) * Linux/RedHat/Bash (advanced) * AWS/Azure/GCP (advanced) * OpenMP/MPI/CUDA ... of chemistry/materials science * work with advanced electronic structure codes (VASP, Quantum ...

Mat3ra

Head of Engineering

Walnut Creek, CA · On-site +1

$130K - $200K/yr

Overview We look for Senior Engineers excited about bridging the gap between materials/chemistry ... Python (advanced) * Linux/RedHat/Bash (advanced) * AWS/Azure/GCP (advanced) * Docker/Vagrant ...

Satomic

Senior Software Engineer

San Diego, CA · On-site

$130K - $171K/yr

The medicinal chemists, computational scientists, and generative-model-driven design teams will ... Python on the backend and TypeScript/React on the frontend, with the freedom to reach for the right ...

Chemify Ltd

Staff CADD Scientist

San Francisco, CA · On-site +1

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously ... Strong Python and at least one core cheminformatics toolkit (e.g. RDKit, OpenEye); real experience ...

Albert Invent

Staff AI/ML Platform Engineer

Oakland, CA · On-site

Albert's mission is to digitalize the world of chemistry. Using data and machine learning, Albert ... Design and build high-performance Python APIs that serve models, manage workflows, and expose AI ...

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 ...

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How much do chemistry python jobs pay per hour?

As of Jun 25, 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.

Do computational chemists make good money?

Computational chemists typically earn competitive salaries that vary based on experience, education, and industry sector, such as pharmaceuticals or academia. Entry-level positions may start around $60,000 annually, with experienced professionals earning over $100,000, especially if they possess strong programming skills in Python and knowledge of molecular modeling tools. Advanced roles or those with specialized expertise can offer higher compensation.

What is the highest paying job in Python?

In the field of Python programming, senior roles such as Machine Learning Engineer, Data Scientist, and Quantitative Analyst tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and experience with frameworks like TensorFlow or PyTorch.

What are the typical responsibilities of a Chemistry Python specialist on a day-to-day basis?

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.

How is Python used in chemistry?

Chemistry Python roles involve using Python programming to analyze chemical data, develop simulations, and automate laboratory processes. Skills in data analysis libraries like Pandas and visualization tools such as Matplotlib are often required, along with knowledge of chemical informatics and computational chemistry methods.

Can chemists make 6 figures?

Chemists can earn six-figure salaries, especially with advanced degrees, specialized skills, and experience in industries like pharmaceuticals, petrochemicals, or research and development. Salary levels vary based on location, role, and seniority, with senior chemists and those in managerial positions more likely to reach or exceed six figures.

What is a Chemistry Python job?

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 June 2026, with employment types broken down into 83% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $120,336 per year, or $57.9 per hour.
Research Associate

Research Associate

University of Southern California

Los Angeles, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

University Of Southern California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

96th of 539 rated colleges and universities

Job description

The Katritch lab invites applications for a postdoctoral position in computational chemistry and drug discovery at USC, Los Angeles. The position will be affiliated with the new Physics and AI driven Drug Discovery Center (PHAST-DDC), providing a multidisciplinary computational, structural biology, and synthetic chemistry environment, with successful collaborations with disease experts on the USC medical campus and across the world.

We are looking for highly talented and motivated researchers to join our team (http://katritch.usc.edu/ ) in developing and applying a new generation of molecular modeling and deep learning tools for predicting protein-ligand interactions, rational ligand design, and virtual ligand screening in Terra-scale chemical spaces. Successful applicants will focus on implementing Deep Learning methods complementing our V-SYNTHES approach (https://www.nature.com/articles/s41586-021-04220-9), and exploring new directions in computer-driven discovery as outlined in our recent Review (https://www.nature.com/articles/s41586-023-05905-z ). We apply these new tools to discover ligands as potential treatments for pain and addiction, inflammation, metabolic and neurodegenerative disease, and cancer.  Since the lab's inception at USC in 2015, our work has been published in more than 100 high-impact papers, including 16 in Nature Journal. The positions are funded by NIH and internal USC grants, and offer highly competitive salaries, a vibrant interdisciplinary environment, and excellent opportunities for career development in both academia and industry.

Job Requirements

We will consider two types of candidates for this position (a) strong computational chemists/molecular modelers willing to expand into deep learning applications and (b) experts in machine learning willing to apply their skills in drug discovery. Successful candidates are expected to have:

- Ph.D. in computational chemistry / computational chemistry/ biophysics/ bioinformatics/ computer sciences or a related field

- Demonstrated experience in structural bioinformatics, molecular modeling, computational chemistry and cheminformatics applications to drug design

- Programming and scripting skills (Python and Linux shell)

- Established record of high-quality scientific research and publications

- Strong analytical and problem-solving skills and scientific creativity are essential.

- Excellent verbal and written communication skills

The candidate would also have at least one or two of the following skills:

- Expertise in deep learning (GCNN, 3D-CNN, generative models, proficiency in pyTorch, TenzorFlow, or other machine learning platform)

- Hands-on experience with at least one of the major drug discovery software packages (Molsoft ICM, Schrodinger, OpenEye, MOE)

- Demonstrated expertise in molecular dynamics studies of GPCRs and other membrane proteins

The position is available immediately. Qualified applicants should send a CV and contact information for at least 3 references to Prof. Vsevolod “Seva” Katritch.

Please use the email subject “Postdoctoral Associate”.

Applications will be considered until the position is filled.

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About University of Southern California

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The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880

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