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Senior Cheminformatics Scientist Jobs (NOW HIRING)

1910

AI Research Scientist I

Boston, MA

Write and publish peer reviewed scientific articleswith the support of senior members of the AI ... cheminformatics and bioinformatics questions * Keep up-to-date on cutting-edge research in the AI ...

1910

AI Research Scientist II

Boston, MA

Write and publish peer reviewed scientific articleswith minimal support from senior members of the ... cheminformatics and bioinformatics questions * Keep up-to-date on cutting-edge research in the AI ...

1910

AI Research Scientist I

Boston, MA · On-site

... with senior team members. Responsibilities : • Propose and prototype AI and Machine Learning ... cheminformatics and bioinformatics questions • Keep up-to-date on cutting-edge research in the AI ...

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Senior Cheminformatics Scientist information

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$66.5K

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How much do senior cheminformatics scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for senior cheminformatics scientist in the United States is $110,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a senior cheminformatics scientist?

A Senior Cheminformatics Scientist is an experienced professional who applies computational and data analysis techniques to solve problems in chemistry, particularly in drug discovery and materials science. They work with large sets of chemical data, develop algorithms and models to predict molecular properties, and integrate informatics tools into research workflows. Typically, they collaborate with chemists, biologists, and IT specialists to manage data, design experiments, and optimize compounds for desired properties. Their work is crucial for accelerating scientific discoveries through the use of computational methods.

What are the key skills and qualifications needed to thrive as a senior cheminformatics scientist?

To thrive as a Senior Cheminformatics Scientist, you need a strong background in chemistry, data analysis, and computational methods, typically supported by a Ph.D. in chemistry, cheminformatics, or a related field. Expertise in programming languages such as Python or R, cheminformatics software (e.g., RDKit, OpenEye), and experience with chemical databases are essential. Strong problem-solving, collaboration, and communication skills help in translating complex data into actionable scientific insights and working effectively in multidisciplinary teams. These skills and qualifications are critical for driving innovative research, managing large chemical datasets, and supporting drug discovery or materials science projects.

What collaborative opportunities can a senior cheminformatics scientist expect when working with interdisciplinary teams?

As a Senior Cheminformatics Scientist, you'll frequently collaborate with medicinal chemists, biologists, data scientists, and software engineers to drive drug discovery projects. Your expertise bridges the gap between computational analysis and experimental science, often facilitating data-driven decision-making. Expect to participate in cross-functional meetings, contribute insights on molecular modeling, and support the integration of cheminformatics tools into research pipelines. This interdisciplinary environment fosters both scientific innovation and professional growth through continuous learning from diverse team members.

What is the difference between Senior Cheminformatics Scientist vs Chemoinformatics Analyst?

AspectSenior Cheminformatics ScientistChemoinformatics Analyst
Required CredentialsBachelor's/Master's/PhD in Chemistry, Bioinformatics, or related field; experience with cheminformatics toolsBachelor's/Master's in Chemistry, Bioinformatics, or related; focus on data analysis skills
Work EnvironmentResearch labs, pharmaceutical companies, biotech firmsData analysis teams, pharmaceutical R&D, biotech companies
Industry UsageUsed for drug discovery, compound management, and data interpretationUsed for data processing, chemical property analysis, and reporting

The Senior Cheminformatics Scientist typically has more advanced research responsibilities and leadership in chemical data analysis, while the Chemoinformatics Analyst focuses on data processing and reporting. Both roles require similar educational backgrounds but differ in scope and seniority.

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Senior Cheminformatics Scientist jobs near you
Infographic showing various Senior Cheminformatics Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 91% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $110,545 per year, or $53.1 per hour.

Senior Machine Learning Scientist II, Drug Discovery Analytics

Revolution Medicines

Redwood City, CA

Full-time

Re-posted 15 days ago

Job description

The Opportunity:

  • We are seeking a Senior Machine Learning Scientist to help accelerate drug discovery through advanced analytics and artificial intelligence. This role will develop predictive models and analytical methods that transform complex biological and chemical datasets into actionable insights that guide research decisions.

  • The Senior Machine Learning Scientist will work at the interface of data science, chemistry, and biology to support target discovery, compound optimization, and translational research. This position requires both strong machine learning expertise and the ability to collaborate effectively with experimental scientists to solve real-world scientific problems.

  • The successful candidate will contribute to building a data-driven discovery ecosystem where data, analytics, and experimentation continuously inform and accelerate one another.

Key responsibilities include:

  • Develop Predictive Models for Drug Discovery

  • Independently Design and implement machine learning models to predict compound activity, selectivity, and developability.

  • Identify and Develop predictive frameworks for ADME/Tox, target engagement, and phenotypic screening outcomes.

  • Apply advanced modeling approaches including deep learning, graph neural networks, and ensemble methods.

  • Evaluate model performance and apply appropriate validation strategies.

  • Work with data engineers and ML engineers to integrate models into discovery pipelines.

  • Analyze Complex Scientific Data.

  • Perform exploratory data analysis on chemical, biological, and phenotypic datasets.

  • Integrate heterogeneous datasets including:

  • Chemical structure and screening data.

  • Structural biology and molecular simulation outputs.

  • Collaborate with Research Scientists.

  • Partner with medicinal chemists to support compound design and lead optimization.

  • Work with biologists to interpret experimental results and identify new target opportunities.

  • Translate scientific questions into computational modeling strategies.

Required Skills, Experience and Education:

  • PhD in machine learning, computational biology, computational chemistry, computer science, statistics, or a related quantitative field.

  • 6-10 years experience applying machine learning or advanced analytics to scientific datasets.

  • Python and scientific computing libraries (NumPy, Pandas, SciPy).

  • Machine learning frameworks (PyTorch, TensorFlow, scikit-learn).

  • Model development, validation, and evaluation methods.

  • Data visualization and exploratory analysis.

  • Experience working with noisy and incomplete experimental datasets.

Preferred Skills:

  • Cheminformatics or molecular modeling tools (RDKit, OpenEye, etc.).

  • Multi-omics data analysis.

  • Cloud computing environments.

  • MLOps or scalable model deployment.

Apply