Machine Learning Chemistry Postdoc information
See salary details
$13.46 - $15.17
4% of jobs
$15.17 - $16.87
11% of jobs
$18.12 is the 25th percentile. Wages below this are outliers.
$16.87 - $18.58
14% of jobs
$18.58 - $20.28
19% of jobs
The median wage is $20.54 / hr.
$20.28 - $21.98
14% of jobs
$21.98 - $23.69
12% of jobs
$23.92 is the 75th percentile. Wages above this are outliers.
$23.69 - $25.39
12% of jobs
$25.39 - $27.10
3% of jobs
$27.10 - $28.80
1% of jobs
$28.80 - $30.51
6% of jobs
$30.51 - $32.21
4% of jobs
How much do machine learning chemistry postdoc jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for machine learning chemistry postdoc 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.
A Machine Learning Chemistry Postdoc is a research position for individuals who have recently earned a PhD and are working at the intersection of machine learning and chemistry. These postdocs develop and apply computational algorithms to solve complex problems in chemistry, such as predicting molecular properties, drug discovery, or material design. They often collaborate with experimental scientists and other computational researchers to advance scientific understanding and innovation. The role typically involves publishing research findings, presenting at conferences, and contributing to grant proposals or collaborative projects.
As a Machine Learning Chemistry Postdoc, you will often collaborate on interdisciplinary projects that combine expertise in computational chemistry, machine learning, and experimental sciences. Typical collaborations include developing predictive models for molecular properties, optimizing chemical synthesis routes, or working with experimentalists to validate computational predictions. You may also participate in code development, data curation, and presenting findings at group meetings or conferences. Such teamwork is essential for integrating machine learning approaches with domain-specific chemistry knowledge, ultimately driving impactful research outcomes.
To thrive as a Machine Learning Chemistry Postdoc, you need a strong background in computational chemistry, machine learning algorithms, and a Ph.D. in chemistry, chemical engineering, or a related field. Proficiency with programming languages (such as Python), machine learning frameworks (like TensorFlow or PyTorch), and computational chemistry software is typically required. Critical thinking, problem-solving, and effective communication are standout soft skills for collaborating across scientific disciplines. These skills and qualities are crucial for driving innovative research, interpreting complex data, and advancing the intersection of chemistry and artificial intelligence.
What are popular job titles related to Machine Learning Chemistry Postdoc jobs?
For Machine Learning Chemistry Postdoc jobs, the most frequently searched job titles are:
