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Cheminformatics Jobs (NOW HIRING)

Postdoctoral

Chapel Hill, NC

$41.70K - $56.60K/yr

PhD in Bioinformatics or Cheminformatics Additional Information All your information will be kept confidential according to EEO guidelines.

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How much do cheminformatics jobs pay per hour?

As of May 31, 2026, the average hourly pay for cheminformatics in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $68.75 per hour, depending on experience, location, and employer.

What is a Cheminformatics job?

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

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 types of projects or tasks can I expect to work on in a Cheminformatics role?

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 cities are hiring for Cheminformatics jobs? Cities with the most Cheminformatics job openings:
What are the most commonly searched types of Cheminformatics jobs? The most popular types of Cheminformatics jobs are:
What states have the most Cheminformatics jobs? States with the most job openings for Cheminformatics jobs include:
Infographic showing various Cheminformatics job openings in the United States as of May 2026, with employment types broken down into 17% Internship, 49% Full Time, 17% Part Time, and 17% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $118,165 per year, or $56.8 per hour.

$41.70K - $56.60K/yr

Other

Posted 7 days ago


Job description

Company Description

The Structural Genomics Consortium at the University of North Carolina at Chapel Hill (SGC-UNC) and the Laboratory for Molecular Modeling at the UNC Eshelman School of Pharmacy 

Job Description

MyGradJob (http://mygradjob.com/), which is a newly developed job board that focuses on professionals and students that have advanced degrees. Jobs range from Postdoctoral, Industry, and Research Institute positions. We attract high quality professionals and students to find jobs

APPLY HERE!!     http://mygradjob.com/job/postdoctoral-research-associate-11/ 


Interested in recruiting a postdoctoral fellow in computational chemical genomics. The project entails the rational expansion of the GSK Published Kinase Inhibitor Set (PKIS) to enrich the current collection of de-orphanized human protein kinases and unique chemical probes for thus kinase library. Working with researchers at SGC-UNC as well as SGC collaborators worldwide, the successful candidate will develop comprehensive chemical genomics database of human protein kinases and their inhibitors, develop new scheme for automated detection of kinase (subfamiliy)-specific chemotypes, and develop predictive understanding of structure-activity and structure-selectivity relationships for kinase inhibitors to identify selective kinase-specific putative probe compounds. The ultimate objective of this computational project is to prioritize new compounds for experimental testing. This postdoctoral fellow position will be part of a multidisciplinary team that includes biologists, chemists, and data scientists. The ideal candidate will have significant expertise in bioinformatics and cheminformatics, working knowledge of multivariate statistical and data mining techniques, and strong programming skills. Experience with developing and maintaining large databases is a plus.

Qualifications

Minimum Qualifications:Qualified applicants must have extensive experience in development and application of computational tools and methods for chemical and biological data mining.PhD in Bioinformatics or Cheminformatics

Additional Information

All your information will be kept confidential according to EEO guidelines.