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Computational Drug Design Jobs in California (NOW HIRING)

Familiarity with computational drug design tools (e.g. Schrdoinger, CCG, OpenEye, etc.), high ... performance computing environments, and strong publication history in peer-reviewed journals.

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

MLCS supports medicinal chemistry and drug design teams by enabling data-driven decision making ... We are seeking a Senior Computational Chemist with a strong cheminformatics background and a proven ...

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Computational Drug Design information

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.

What are popular job titles related to Computational Drug Design jobs in California?

For Computational Drug Design jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Computational Drug Design jobs?

Cities in California with the most Computational Drug Design job openings:

Infographic showing various Computational Drug Design job openings in California as of August 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Scientific Director, Computational Chemistry

Neurocrine Biosciences

San Diego, CA • On-site

$218.20 - $298/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

About the Role

Develops and leads innovative computational strategies that accelerate drug discovery across a Research and Development portfolio from early discovery through clinical candidate nomination. Integrates computational approaches including molecular modeling, cheminformatics, molecular dynamics, free energy perturbation, and AI/ML‑driven drug design to support data‑driven decision‑making and the optimization of therapeutics across multiple modalities, including small molecules and biologics. Working within multidisciplinary teams of medicinal chemists, structural biologists, pharmacologists, data scientists, and ADME/Tox representatives, provides molecular‑level insight and computational expertise to inform compound design, potency and selectivity optimization, and de‑risk design hypotheses. Represents Computational Chemistry across Research and Development functions and seamlessly integrates internal and external technologies, collaborations, and resources to advance Neurocrine’s drug discovery strategy. Supports senior leadership through long‑term strategic planning, technology innovation, resource management, and the continuous evolution of computational capabilities to ensure effective achievement of scientific and operational objectives. Serves as a mentor and scientific leader, fostering the development of junior scientists and promoting excellence within the computational chemistry function.

Your Contributions
  • Develops, implements, and enforces scientifically sound computational chemistry strategies that support drug discovery programs from target validation through lead optimization and candidate selection
  • Leads the application of molecular modeling, structure‑based drug design, ligand‑based design, and AI/ML approaches to enable compound design and optimization
  • Partners closely with medicinal chemistry, structural biology, pharmacology, and data science teams to integrate computational insights into project strategies and decision‑making
  • Evaluates, interprets, and communicates computational results, proactively providing strategic direction to project teams and senior management on compound design and program progression
  • Drives innovation through the evaluation and implementation of emerging computational technologies, including generative chemistry, predictive modeling, and large‑scale data analysis
  • Establishes and oversees computational workflows, best practices, and reproducible methods to support high‑quality and efficient research
  • Represents Computational Chemistry across R&D teams and contributes to program strategy, portfolio discussions, and governance forums
  • Provides strategic oversight for external collaborations, including academic partnerships, technology vendors, and contract research organizations (CROs)
  • Contributes to intellectual property strategy, scientific publications, and external presentations
  • Participates in selecting, developing, and evaluating personnel to ensure efficient operation and growth of the team
  • Maintains current knowledge of industry trends, emerging technologies, and scientific advancements in computational chemistry and drug discovery
  • Other tasks as assigned
Requirements
  • Bachelors in chemistry or related field AND 12+ years of experience applying computational chemistry in a drug discovery setting
  • Masters in computational chemistry or related field AND 10+ years of experience applying computational chemistry in a drug discovery setting
  • PhD in computational chemistry, organic chemistry or a related field AND 8+ years of experience applying computational chemistry in a drug discovery setting
  • Proven leadership experience, including managing and developing scientific teams
  • Applies understanding of the team's place in the larger organization, and discusses changes, progress, and issues as they relate to other areas
  • Ability to meet multiple deadlines across a variety of projects/programs, with a high degree of accuracy and efficiency
  • Deep expertise in molecular modeling, structure‑based drug design, and cheminformatics methods
  • Demonstrated experience applying computational approaches to small molecules and/or emerging modalities
  • Experience integrating computational chemistry into multidisciplinary drug discovery teams
  • Strong track record of scientific achievement, including publications and/or patents
  • Experience with AI/ML approaches in drug discovery, including predictive modeling and generative design
  • Deep expertise in ligand and structure‑based drug design related to small molecules as well as other modalities including peptides, biologics and targeted protein degradation
  • Familiarity with CNS drug discovery or neuroscience‑focused research
  • Experience working with cloud computing and high‑performance computing environments including programming computational workflows in Knime or equivalent
  • Expertise with industry‑standard computational chemistry platforms (e.g., Schrödinger, OpenEye, MOE, or similar)
  • Demonstrated ability to influence strategy across multiple functions and organizational levels
  • Demonstrates strategy development and implementation within areas of responsibility
  • Possesses expert knowledge of own function and broad knowledge of multiple functions and impact on business
  • Proven leadership skills, including influencing across many levels of the organization
  • Maintains broad knowledge of scientific principles and theories and possesses intellectual mastery of multiple scientific areas
Compensation and Benefits
  • The annual base salary we reasonably expect to pay is $218,200.00–$298,000.00. Individual pay decisions depend on various factors, such as primary work location, complexity and responsibility of role, job duties/requirements, and relevant experience and skills.
  • In addition, this position offers an annual bonus with a target of 35% of the earned base salary and eligibility to participate in our equity based long‑term incentive program.
  • Benefits offered include a retirement savings plan (with company match), paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits including medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.
EEO Statement

Neurocrine Biosciences is an EEO/Disability/Vets employer. We are committed to building a workplace of belonging, respect, and empowerment, and we recognize there are a variety of ways to meet our requirements. We are looking for the best candidate for the job and encourage you to apply even if your experience or qualifications don’t line up to exactly what we have outlined in the job description.

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