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Cheminformatics Scientist Jobs (NOW HIRING)

Xenon7

Research Advisor, Computational Chemistry

Proficiency in cheminformatics toolkits (RDKit, OpenEye, or equivalent) and/or commercial CADD platforms (Schrödinger, MOE) * Strong programming skills in Python, with experience in scientific ...

1910

AI Research Scientist I

Boston, MA

Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions * Keep up-to-date ...

1910

AI Research Scientist III

Boston, MA

Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions * Keep up-to-date ...

1910

AI Research Scientist I

Boston, MA · On-site

As an AI Research Scientist I, you will contribute to drug design campaigns by applying AI/ML ... cheminformatics and bioinformatics questions • Keep up-to-date on cutting-edge research in the AI ...

1910

AI Research Scientist II

Boston, MA · On-site

Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions * Keep up-to-date ...

1910

AI Research Scientist III

Boston, MA · On-site

... cheminformatics and bioinformatics questions • Keep up-to-date on cutting-edge research in the AI for drug discovery space • Manage junior AI Research Scientists including having weekly 1:1s, and ...

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How much do cheminformatics scientist jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for cheminformatics scientist in the United States is $62.21, according to ZipRecruiter salary data. Most workers in this role earn between $47.84 and $78.12 per hour, depending on experience, location, and employer.

What is a Cheminformatics Scientist job?

A Cheminformatics Scientist applies computational techniques to analyze chemical data, aiding in drug discovery, materials science, and molecular modeling. They use machine learning, data science, and cheminformatics tools to predict molecular properties, optimize compounds, and manage chemical databases. Their work bridges chemistry, computer science, and biology to accelerate research and innovation in pharmaceutical and materials industries.

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

To thrive as a Cheminformatics Scientist, you need a strong background in chemistry, molecular biology, data analysis, and computational modeling, typically supported by an advanced degree in chemistry, bioinformatics, or a related field. Familiarity with software tools such as KNIME, Pipeline Pilot, RDKit, and programming languages like Python or R is highly valued, along with experience working with chemical databases. Strong problem-solving skills, attention to detail, collaboration, and the ability to communicate complex concepts to multidisciplinary teams are essential soft skills. These qualifications ensure that you can efficiently analyze chemical data, contribute to research projects, and work productively in dynamic scientific environments.

What are some typical projects or daily tasks for a Cheminformatics Scientist?

As a Cheminformatics Scientist, your daily work often involves processing and analyzing chemical and biological data, using computational techniques to support drug discovery, and developing predictive models for molecular properties. You may collaborate with medicinal chemists, biologists, and data scientists to design and interpret experiments or to integrate diverse datasets. Additionally, you might be tasked with maintaining or updating chemical databases and building custom algorithms or tools to address specific research questions. This role offers the opportunity to engage in innovative projects that directly impact the advancement of pharmaceutical or materials science research.
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Cheminformatics Scientist jobs near you
Infographic showing various Cheminformatics Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,403 per year, or $62.2 per hour.

Applied ML Scientist (Staff / Principal)

Genesis Molecular AI

San Mateo, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago

Job description

About the Team
Join a world-class team at the forefront of AI and biochemistry.
At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases.
We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations.
About the Role
This unique role is for a scientist who is passionate about being a catalyst for applying cutting-edge AI to solve real-world drug discovery challenges. You will be the critical bridge between our long-term research and our experimental drug discovery programs. Your mission is to build, evaluate, monitor, and improve our state-of-the-art models directly into active drug programs, leading the charge on model validation, deployment, and analysis to guide the discovery of new medicines.
You will act as both a translator and a strategist, ensuring our research is aimed at the most critical challenges and that our drug hunters can leverage the full power of our industry-leading AI platform. This role requires a deep understanding of cheminformatics, computational chemistry, and experimental techniques, strong data science skills, and a talent for communicating complex ideas to a diverse, multidisciplinary team.
Positions are available at various levels of seniority: Senior, Staff, and Principal.
What You'll Do
  • Work directly with project teams to assess model performance and utility, including applicability to current project needs, and collaborate with ML and engineering teams to resolve issues or add new functionality.
  • Assist experimental colleagues with use and interpretation of model predictions by providing context about model quality and prediction uncertainty.
  • Evaluate model quality by validating predictions against project data and internal or external benchmarks.
  • Curate internal and external datasets for model training and validation (in collaboration with experimental teams).
  • Contribute to design and analysis of experiments on model changes and alternative architectures.

You are
  • A seasoned computational scientist with a proven track record of machine learning based methods to impact small molecule drug discovery projects.
  • A cheminformatics expert, fluent in the language of molecular data with hands-on mastery of tools like RDKit or OpenEye.
  • A scientist who speaks the language of experimental drug discovery, with a strong familiarity with common assay types (biochemical/binding/cell-based assays, in vivo studies, etc.) and CADD workflows (docking, virtual screening, ADME prediction, etc.).
  • A rigorous data scientist, with experience inmodeling and analysis of small molecule datasets and passion for statistical validation, uncertainty quantification, and deriving clear insights from complex, noisy data.
  • A hands-on applied scientist and software engineer with strong coding skills in Python and a deep practical knowledge of the applied ML toolkit (e.g., scikit-learn, PyTorch).
  • An exceptional communicator and collaborator, able to act as the bridge between machine learning researchers and experimental scientists.
  • A curious, problem-oriented mind, excited to dive into the emerging field at the intersection of AI, physics, chemistry, and biology and make foundational contributions and discoveries.
  • A true team player who thrives in highly collaborative, mission-driven environments where science and engineering are deeply intertwined.
  • Inspired by our culture of intellectual curiosity and the shared belief that breakthroughs happen when diverse perspectives and minds unite.

Nice to have's
  • A PhD in Cheminformatics, Computational Chemistry, Computer Science, or a related field.A track record of publications applying machine learning to drug discovery challenges.
  • Deep expertise in advanced modeling techniques such as graph neural networks, multitask modeling, active learning, or Bayesian optimization.
  • Experience with large-scale data management, including SQL databases and data pipelining tools.
  • Strong opinions on molecule featurization and model validation.

Compensation, Benefits, and Perks
  • Competitive compensation package that includes salary and equity.
  • Comprehensive health benefits: Medical, Dental, and Vision (covered 100% for the employees).
  • 401(k) plan.
  • Open (unlimited) PTO policy.
  • Free lunches and dinners at our offices.
  • Paid family leave (maternity and paternity).
  • Life and long- and short-term disability insurance.

About Genesis Molecular AI
Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company's generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets.
Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

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