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How much do full time cheminformatics jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for full time cheminformatics in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.

What is the difference between Full Time Cheminformatics vs Full Time Bioinformatics?

AspectFull Time CheminformaticsFull Time Bioinformatics
Required credentialsBachelor's or Master's in Chemistry, Bioinformatics, or related fields; knowledge of cheminformatics toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; familiarity with biological data analysis
Work environmentLaboratories, pharmaceutical companies, research institutionsResearch labs, healthcare, biotech firms
Industry usageDrug discovery, chemical data managementGenomics, personalized medicine, gene analysis

Full Time Cheminformatics focuses on chemical data analysis and drug discovery, while Full Time Bioinformatics centers on biological data and genomics. Both roles require similar educational backgrounds but differ in their specific data types and industry applications.

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What cities are hiring for Full Time Cheminformatics jobs? Cities with the most Full Time Cheminformatics job openings:
What are the most commonly searched types of Cheminformatics jobs? The most popular types of Cheminformatics jobs are:
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Full Time Cheminformatics jobs near you
Infographic showing various Full Time Cheminformatics job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

Principal Scientist, Computational Chemistry

Deep Apple Therapeutics

South San Francisco, CA • On-site, Remote

Full-time

Posted 22 days ago

Job description

About Us Deep Apple Therapeutics, part of the Apple Tree Partners (ATP) portfolio, is a Bay Area biotechnology company focused on accelerating drug discovery by integrating molecular docking and structural biology with advanced computer-aided drug design (CADD) technologies. Our state-of-the-art platform combines advanced computational modeling, large-scale compound docking, cryo-EM-based structural biology, and deep learning to drive the efficient identification and development of novel therapeutics.

Role Description We are seeking an experienced Computational Scientist to support and advance our computational initiatives in virtual hit discovery and traditional CADD for our portfolio programs. You will join a collaborative team of computational chemists, data scientists, machine learning engineers and medicinal chemists to integrate deep learning models into our drug discovery pipeline. This role will enhance our virtual screening capabilities, optimize molecular design, and facilitate cross-functional collaboration to translate computational insights into viable therapeutic leads. The ideal candidate will bring more than five years of expertise in computational modeling and proven support of drug discovery teams.

Key Responsibilities

  • Lead the implementation of virtual hit discovery, including ligand-based and structure-based modeling, on a program-by-program basis.
  • Deploy deep learning models, including generative AI for molecular design, to predict molecular properties, binding affinities, and ADMET profiles for portfolio programs.
  • Collaborate closely with biology, medicinal chemistry, and machine learning teams to validate computational predictions through iterative feedback loops to accelerate pipeline programs.
  • Drive strategic initiatives, including partnerships with academic institutions, technology companies, and CROs, to strengthen our virtual hit discovery capabilities.
  • Stay current with emerging technologies in computational chemistry and deep learning, incorporating them into our pipeline to maintain a competitive edge.
  • Manage project timelines, budgets, and resources while ensuring compliance with data integrity and intellectual property standards.

Required Qualifications and Skills

  • Ph.D. in Computational Chemistry, Cheminformatics, Bioinformatics, or a related field.
  • Minimum of 5 years of professional experience in computational modeling within the biotechnology or pharmaceutical industry, including at least 1-2 years in a computational program leadership role.
  • Strong track record in virtual hit discovery and/or CADD, with demonstrated success leading to IND-ready assets.
  • Proficiency in programming languages such as Python, with extensive experience in data analysis, machine learning pipelines, and high-performance computing.
  • Excellent communication skills, with the proven ability to translate complex technical concepts to non-expert audiences.

At Deep Apple, we value diversity, encourage professional growth, and provide competitive benefits and compensation.
Deep Apple is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Employment Type: FULL_TIME

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