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Executive Cheminformatics information

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$26.5K

$93.6K

$184K

How much do executive cheminformatics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for executive cheminformatics in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 per year, depending on experience, location, and employer.

What is the difference between Executive Cheminformatics vs Chemoinformatics Specialist?

AspectExecutive CheminformaticsChemoinformatics Specialist
CredentialsBachelor's or Master's in Chemistry, Bioinformatics, or related fields; experience in industrySimilar credentials, often with advanced degrees or certifications in cheminformatics or related areas
Work EnvironmentStrategic roles in R&D, management, or project oversight within pharmaceutical or biotech companiesHands-on data analysis, software development, and modeling in research labs or biotech firms
Industry UsageUsed in leadership, decision-making, and project management within cheminformatics teamsPrimarily in research, data analysis, and software implementation roles

While both roles require a background in chemistry and informatics, Executive Cheminformatics focuses on strategic oversight and decision-making, whereas Chemoinformatics Specialists are more involved in technical data analysis and software development. Understanding these differences helps align career goals and job expectations in the cheminformatics industry.

What are Executive Cheminformatics professionals?

Executive Cheminformatics professionals are leaders who oversee the integration of chemistry, informatics, and data science within organizations, typically in the pharmaceutical, biotech, or chemical industries. They manage teams and projects that utilize computational tools to analyze chemical data, drive research, and support decision-making in drug discovery or material science. Their role combines strategic vision, technical expertise, and leadership to maximize the value of chemical information and technology platforms. Executives in this field often collaborate with scientists, IT specialists, and business leaders to align cheminformatics initiatives with organizational goals.

What are the key skills and qualifications needed to thrive as an Executive Cheminformatics professional, and why are they important?

To thrive as an Executive Cheminformatics professional, you need a strong background in chemistry, bioinformatics, and data analysis, typically supported by an advanced degree in chemistry or related fields. Familiarity with cheminformatics software (such as RDKit, ChemAxon, or Pipeline Pilot), molecular modeling tools, and database management systems is essential, along with relevant programming skills (e.g., Python or R). Strong analytical thinking, problem-solving ability, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial to drive innovation, streamline drug discovery processes, and ensure data-driven decision-making in pharmaceutical and research environments.

What are some typical challenges faced by an Executive Cheminformatics professional in managing large chemical data sets?

Executive Cheminformatics professionals often encounter challenges related to integrating and standardizing vast and diverse chemical data from multiple sources. Ensuring data quality, consistency, and interoperability across platforms requires robust workflows and attention to detail. Additionally, they must collaborate closely with chemists, data scientists, and IT teams to implement tools that facilitate efficient data analysis and visualization. Staying updated with evolving cheminformatics software and best practices is also essential to optimize productivity and maintain data integrity.
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Executive Cheminformatics jobs near you
Sr. Director/Executive Director, Computational Chemistry

Sr. Director/Executive Director, Computational Chemistry

Prelude Therapeutics Incorporated

Wilmington, DE • On-site

Other

Posted 14 days ago

Job description

Description

We are seeking a highly accomplished and hands-on Executive Director of Computational Chemistry to build and lead our computational drug discovery capabilities in a fast-growing biotech environment. This leader will drive the design of novel small molecules against high-value biological targets using structure-based drug design (SBDD), physics-based modeling, and cutting-edge AI/ML approaches.

The successful candidate will directly contribute to active discovery programs while also leading the implementation of  AI tools across the discovery organization. The Executive Director will serve as both a scientific driver and a platform builder, partnering closely with Medicinal Chemistry, Biology, Structural Biology, and executive leadership to accelerate pipeline progression.

Key ResponsibilitiesScientific & Strategic Leadership

Define and execute computational chemistry strategy from target validation through candidate nomination.

Lead structure-based drug design efforts to enable hit identification and lead optimization. 

Identify, evaluate, and deploy AI tools across medicinal chemistry, biology, DMPK, and translational research.

Hands-On Drug Design

Personally contribute to programs using molecular docking, virtual screening, molecular dynamics, and free energy methods (FEP/TI).

Leverage structural biology data (X-ray, cryo-EM, homology models, AlphaFold) to guide rational design.

Drive scaffold hopping, de novo design, and multi-parameter optimization strategies.

Implement generative chemistry, predictive ADME/Tox models, and decision-support systems.

Promote AI adoption and literacy across the R&D organization.

Requirements

Ph.D. in Computational Chemistry, Biophysics, Chemical Physics, or related discipline.

5-20 years of industry experience supporting small-molecule drug discovery.

Demonstrated success partnering with medicinal chemistry programs that have advanced into clinical development

Deep expertise in SBDD, docking, molecular dynamics, FEP, and cheminformatics.

Strong working knowledge of AI/ML applications in molecular design, generative chemistry, and predictive modeling.

Hands-on leader who remains scientifically engaged.

Strong cross-functional collaborator with executive presence.

Passionate about building AI-enabled drug discovery platforms that deliver transformative therapeutics.

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