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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 Jul 25, 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.

Is there a demand for medicinal chemists?

There is strong demand for medicinal chemists, especially those with expertise in drug design, synthesis, and cheminformatics tools. The pharmaceutical industry continues to hire medicinal chemists to develop new therapies, and roles often require knowledge of laboratory techniques and regulatory standards.

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.

How much do theoretical chemists make?

Theoretical chemists typically earn between $60,000 and $120,000 annually, depending on experience, education, and industry. Senior roles or those in academia and research institutions may offer higher salaries, often supplemented with grants and research funding.

How to become cheminformatics?

To become an executive cheminformatics professional, candidates typically need a strong background in chemistry, bioinformatics, or related fields, often holding a master's or Ph.D. degree. Skills in data analysis, programming (such as Python or R), and familiarity with cheminformatics tools like ChemAxon or RDKit are essential. Gaining experience through internships or research projects and staying updated on industry software and methodologies can enhance career prospects.

What is the highest paid job in chemistry?

In chemistry, executive-level roles such as Chief Scientific Officer or Vice President of R&D tend to be the highest paid, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and advanced knowledge of chemical research and development processes.
More about Executive Cheminformatics jobs
What cities are hiring for Executive Cheminformatics jobs? Cities with the most Executive 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 Executive Cheminformatics jobs? States with the most job openings for Executive Cheminformatics jobs include:
What job categories do people searching Executive Cheminformatics jobs look for? The top searched job categories for Executive Cheminformatics jobs are:
Executive Cheminformatics jobs near you
Infographic showing various Executive Cheminformatics job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 2% As Needed, 52% Part Time, 4% Temporary, and 41% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Data Scientist/AI Lead

Program Management Solutions LLC

Rockville, MD • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Salary:

Program Management Solutions is looking for a Data Scientist/AI Lead to join our growing team. This is an on-site position that's located in Rockville, MD.
Requirements

  • Bachelors degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Biomedical Informatics, Computational Biology, Engineering, or related field.
  • Minimum 10+ years of experience supporting data science, artificial intelligence, machine learning, informatics, analytics, data engineering, or scientific computing initiatives.
  • Minimum 5+ years of experience leading technical teams supporting data-intensive, AIenabled, or scientific computing environments.
  • Experience designing and implementing data architectures, ingestion pipelines, metadata management, and data governance frameworks.
  • Experience supporting FAIR data principles, data harmonization, interoperability, and scientific data lifecycle management.
  • Experience developing, integrating, or supporting AI/ML-enabled analytics, predictive modeling, automation, or advanced computational workflows.
  • Experience designing, deploying, or supporting Generative AI (GenAI) solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent assistants, AI agents, prompt engineering, and enterprise knowledge management solutions.
  • Experience supporting responsible AI practices, including model documentation, transparency, explainability, performance monitoring, and bias identification or mitigation.
  • Experience supporting cloud, high-performance computing, GPU-enabled, or large-scale analytics platforms.
  • Experience implementing Machine Learning Operations (MLOps) practices including model lifecycle management, model registries, feature engineering pipelines, automated retraining, version control, deployment automation, and continuous model monitoring.
  • Experience supporting vector databases, semantic search, knowledge graphs, embeddings, enterprise search, and AI-enabled knowledge management platforms.
  • Experience briefing technical and executive stakeholders.


Preferences

  • Masters degree or higher in a related field.
  • Experience supportingNIH, HHS, or biomedical research organizations.
  • Experience with bioinformatics, cheminformatics, knowledge graphs, ontology management, and translational science data environments.
  • Experience supporting AI-enabled analytics, machine learning operations, advanced scientific computing, high-content imaging, or large-scale biomedical data environments.
  • Experience with human-in-the-loop AI workflows, image segmentation, model validation, or AI-enabled scientific platformintegration.
  • Experience supporting enterprise Generative AI platforms using Azure OpenAI, Amazon Bedrock, Google Vertex AI, OpenAI APIs, Hugging Face, LangChain, Semantic Kernel, or equivalent technologies.
  • Experience supporting AI governance, AI security, prompt management, model evaluation, AI red teaming, or enterprise AI adoption initiatives.
  • Experience integrating GenAI capabilities into scientific research, biomedical informatics, or decision-support environments.