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How much do computational drug design jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for computational drug design in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is computational drug design?

Computational drug design is the use of computer-based methods and simulations to discover, develop, and optimize new pharmaceutical compounds. This field combines chemistry, biology, and computer science to model how potential drug molecules interact with biological targets, such as proteins or enzymes. Techniques like molecular docking, virtual screening, and molecular dynamics are commonly used to predict the efficacy and safety of new drugs before laboratory testing. By leveraging computational tools, researchers can significantly speed up the drug discovery process and reduce costs.

What are the key skills and qualifications needed to thrive as a computational drug design scientist?

To thrive as a Computational Drug Design scientist, you need a strong background in chemistry, biology, and computer science, typically supported by an advanced degree (e.g., PhD) in a related field. Proficiency with molecular modeling software, cheminformatics tools, and programming languages such as Python or R is essential, along with familiarity with databases like PDB and software such as Schrödinger or MOE. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate computational findings into actionable insights for multidisciplinary teams. These competencies are crucial for efficiently identifying promising drug candidates and supporting data-driven decision-making in pharmaceutical research.

What are some common challenges faced in a computational drug design role, and how can they be addressed?

Professionals in Computational Drug Design often encounter challenges such as managing large and complex datasets, integrating diverse software tools, and ensuring accurate modeling of biological systems. Addressing these challenges typically involves continuous learning to stay updated with the latest algorithms and software, collaborating closely with experimental scientists, and developing strong data management practices. Effective communication and teamwork are also essential, as the role frequently involves working in multidisciplinary teams to translate computational findings into actionable experimental strategies.

What is the difference between Computational Drug Design vs Medicinal Chemist?

AspectComputational Drug DesignMedicinal Chemist
Required CredentialsDegree in Chemistry, Bioinformatics, or related field; strong computational skillsDegree in Chemistry, Organic Chemistry, or related field; laboratory experience
Work EnvironmentResearch labs, pharmaceutical companies, biotech firms; primarily computer-basedLaboratories, pharmaceutical companies; hands-on chemical synthesis and analysis
Industry UsageDrug discovery, virtual screening, molecular modeling

Computational Drug Design focuses on using computer simulations and modeling to identify potential drug candidates, while Medicinal Chemists are involved in synthesizing and testing chemical compounds in the lab. Both roles are essential in the drug development process but differ in their methods and work environments.

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Computational Drug Design jobs near you
Infographic showing various Computational Drug Design job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Computational Chemistry Lead

Astellas Pharma, Inc.

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Computational Chemistry
About Astellas
Astellas is a global life sciences company committed to turning innovative science into VALUE for patients. We provide transformative therapies in disease areas that include oncology, ophthalmology, urology, immunology and women's health. Through our research and development programs, we are pioneering new healthcare solutions for diseases with high unmet medical need. Learn more at Astellas.com.
Are you driven to make a real difference in the lives of patients?
We're seeking passionate individuals who thrive in dynamic environments, embrace new ideas, and aren't afraid to take intelligent risks. People who act with unwavering integrity and are deeply committed to making a tangible impact.
Purpose & Scope
This role supports drug discovery efforts by applying advanced computational chemistry techniques to design and optimize small-molecule therapeutics. The position requires close collaboration with internal teams and external CROs to accelerate candidate selection and improve research productivity. The Computational Chemist will contribute to strategic decisions and innovation across multiple therapeutic areas
Role and Responsibilities
  • Computational Drug Design: Apply molecular modeling, docking, molecular dynamics, homology modeling, and structure-based design to guide compound optimization
  • Use cheminformatics and machine learning tools to analyze SAR, ADME/Tox profiles, and predict compound behavior.
  • Develop generative models, reinforcement learning pipelines, and predictive analytics for compound design and optimization
  • Curate chemical libraries, manage data pipelines, and support SAR/ADME analysis
  • Serve as lead or co-lead in projects, setting project goals and defining plans
  • Drug Design & Synthesis: Design novel compounds based on ADME and SAR principles; optimize lead molecules for potency, selectivity, and pharmacokinetics.
  • Data Analysis & Reporting: Analyze large datasets from simulations and experimental data with scientific rigor; interpret computational results and prepare detailed research reports and present findings internally and externally to technical and non-technical audiences.
  • Cross-functional Collaboration: Work closely with medicinal chemistry, biology, pharmacology, protein science, and preclinical teams to ensure drug candidates meet efficacy and safety standards. Participate in program-related meetings and contribute strategic insight
  • Intellectual Property: Identify and protect IP through patent filings and strategic documentation. Ensure accurate documentation of compound synthesis and project data
  • Foster a collaborative, transparent, and creative team environment that drives innovation and invention. Close partnership with colleagues in Japan is expected.
  • Technology Integration: Explore and apply cutting-edge technologies and global scientific trends to enhance research capabilities
  • Stay current with scientific literature and emerging technologies
  • Manage team priorities and resources in alignment with the company's overall I-Lab strategy and objectives.

CRO Management
  • Oversee computational chemistry execution at CROs, including troubleshooting and performance enhancement
  • Evaluate and onboard new CROs to improve cost-efficiency and research quality
  • Maintain weekly communication and productivity tracking with CRO teams

Required Qualifications:
  • Ph.D. in Computational Chemistry, Cheminformatics, Medicinal Chemistry, or related field; or M.S. with 5+ years of industry experience
  • Proven experience in computational support of small molecule drug discovery.
  • Familiarity with AI-driven drug design
  • Proficiency in software packages such as Schrodinger, MOE, OpenEye, Rosetta, and scientific programming (Python, Pipeline Pilot).
  • Strong understanding of organic and synthetic chemistry concepts.
  • Experience managing CRO relationships and external collaboration
  • Deep understanding of advancements in drug discovery, emerging technologies, and industry trends, and experience applying this knowledge to enhance research strategies.

Technical Expertise:
  • Molecular Modeling & Simulation: Proficient in structure-based drug design (SBDD), including molecular docking, molecular dynamics (MD), and free energy perturbation (FEP).
  • Skilled in homology modeling, pharmacophore modeling, and quantum mechanics/molecular mechanics (QM/MM) methods.
  • Experienced in cryptic pocket identification and virtual screening for challenging targets

  • Chemoinformatics & Data Science: Applies cheminformatics tools to analyze structure-activity relationships (SAR), ADME/Tox profiles, and compound clustering.
  • Uses machine learning (ML) and AI-driven platforms for compound prioritization, generative design, and predictive modeling.
  • Familiar with scripting languages like Python and platforms such as Schrödinger, MOE, and KNIME

  • Drug Discovery Integration: Designs and optimizes small molecules for potency, selectivity, and pharmacokinetics.
  • Collaborates with medicinal chemists, biologists, and pharmacologists to guide compound progression from hit to lead

Skills:
  • Strong collaboration and teamwork abilities.
  • Excellent oral and written communication in English.
  • Strategic thinking and problem-solving capabilities
  • Strong communication and influencing skills
  • Highly collaborative win-win mindset is essential

Working Environment
  • This position is based in Cambridge, MA and will require on-site work.

What awaits you at Astellas?
  • Global collaboration: Become part of a connected global business of like-minded life science leaders, all dedicated to improving patients' lives worldwide. Real-world patient impact: Contribute to transformative therapies that reach patients around the world, knowing your work makes a difference every day.
  • Relentless Innovation: Join a company at the forefront of scientific breakthroughs, where you'll have the opportunity to shape the future of healthcare.
  • A Culture of Growth: Chart your own course within a supportive environment that values your contributions, champions your development, and empowers you to pursue your passions.

Our Organizational Values and Behaviors
Values: Innovation, Integrity and Impact sit at the heart of what we do.
Behaviors: We come together as 'One Astellas', working with courage and a sense of urgency. We are outcome focused and consistently take accountability for our personal contribution.
Salary Range
$119,000-$170,000 (Final compensation will be determined based on a variety of factors, including but not limited to skills, experience and organizational equity considerations)
Benefits:
  • Medical, Dental and Vision Insurance
  • Generous Paid Time Off options, including Vacation and Sick time, plus national holidays including year-end shut down
  • 401(k) match and annual company contribution
  • Company paid life insurance
  • Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
  • Long Term Incentive Plan for eligible positions
  • Company fleet vehicle for eligible positions
  • Referral bonus program

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