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Associate Machine Learning Chemistry Jobs in Pittsburgh, PA

PPG

Senior Data Scientist

Pittsburgh, PA · On-site +1

... Engineering, Chemistry, Physics, or related field. * 5+ years of experience delivering AI/ML solutions in production environments * Strong expertise in: * Machine learning and deep learning

Pwc

AI Engineer

Pittsburgh, PA · On-site

$50K - $112K/yr

... Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable. As an Associate ...

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All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in Pittsburgh, PA

Associate Machine Learning Chemistry information

See Pittsburgh, PA salary details

$30.6K

$129.2K

$305.3K

How much do associate machine learning chemistry jobs pay per year?

As of Sep 4, 2026, the average yearly pay for associate machine learning chemistry in Pittsburgh, PA is $129,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $196,100.00 per year, depending on experience, location, and employer.

What is an associate machine learning chemistry?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an associate machine learning chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an associate machine learning chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What are popular job titles related to Associate Machine Learning Chemistry jobs in Pittsburgh, PA?

For Associate Machine Learning Chemistry jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Chemistry jobs in Pittsburgh, PA look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Associate Machine Learning Chemistry jobs?

Cities near Pittsburgh, PA with the most Associate Machine Learning Chemistry job openings:

Associate Machine Learning Chemistry jobs near you
Infographic showing various Associate Machine Learning Chemistry job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,179 per year, or $62.1 per hour.

Faculty Position in Experimental or Theoretical Chemistry (AY23/24)

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 7 days ago

Carnegie Mellon University rating

8.8

Company rating: 8.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

35th of 629 rated colleges and universities

Job description

Description
The Department of Chemistry at Carnegie Mellon University seeks applicants for a tenure-track faculty position in experimental and/or theoretical chemistry at the rank of assistant professor or higher depending on qualifications. We seek applications from researchers in a broad range of disciplines within chemical sciences and have a particular interest in those who are pursuing new approaches, including the use of automation in the design, synthesis, and/or characterization of molecules and materials. Research in broadly defined areas including human health, (bio)chemical catalysis, clean energy, and environmental monitoring and remediation would be an excellent fit to the current themes in the department and the college. Carnegie Mellon offers a highly interdisciplinary environment combined with an exciting new focus on modern data-driven/automated approaches. This significant investment is exemplified by recent hires in the areas of Machine Learning and Artificial Intelligence and the construction of the first academic Cloud Lab (https://cloudlab.cmu.edu/) to support experimental efforts in these key frontier scientific areas. The successful applicant will be able to leverage these resources, along with the University's strengths in engineering and computer science, to make unique contributions to the field of chemistry.
Qualifications
We seek scientists who are eager to join and contribute to a highly collaborative, multidisciplinary environment that promotes innovative research, education, and service initiatives. The successful candidate will have a Ph.D. degree in Chemistry or a closely related field and preferably relevant post-doctoral research experience. Selection will be based in part on a record of research publications in internationally recognized peer-reviewed journals, prospects for obtaining external funding, and the potential to become an outstanding teacher/mentor of students at both the undergraduate and graduate levels from a wide range of disciplines, cultures, and academic backgrounds.
Application Instructions
Application materials, including a cover letter, curriculum vitae (including list of publications), a statement of research interests and teaching philosophy along with a statement on how the candidate will foster diversity, equity, and inclusion should be submitted via the Interfolio site. Applicants are also asked to arrange for a minimum of three confidential letters of recommendation to be uploaded to Interfolio. Review of applications will begin on September 30, 2023 and continue until the position is filled.
The Department of Chemistry is committed to increasing the diversity of its community on a rang of intellectual and cultural dimensions and is part of a College and University that is proactive to include more members of previously under-represented groups. We seek candidates who, through their research, teaching, and/or service will contribute to the diversity and excellence of our academic community. Carnegie Mellon University seeks to meet the needs of dual-career couples and is a member of the Higher Education Recruitment Consortium (HERC) that assists with dual-career searches.

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