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Computational Chemistry Jobs (NOW HIRING)

Own computational chemistry programs across therapeutic modalities, disease targets, and indications * Ensure effective collaboration with the Biology and Medicinal Chemistry teams by providing key ...

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Computational Chemistry information

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How much do computational chemistry jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for computational chemistry in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Computational Chemistry vs Chemist?

AspectComputational ChemistryChemist
Required CredentialsTypically requires a PhD in Chemistry, Chemical Engineering, or related fieldOften requires a Bachelor's or Master's degree in Chemistry or related discipline
Work EnvironmentPrimarily research labs, computer-based work, and simulationsLaboratories, industrial settings, or fieldwork
Industry UsageUsed in pharmaceuticals, materials science, and academia for modeling and simulationsInvolved in experimental research, product development, and quality control

Computational Chemists focus on computer-based modeling and simulations to understand chemical phenomena, while Chemists often perform hands-on experiments and laboratory work. Both roles are essential in advancing chemical research but differ mainly in their methods and work environments.

What are some common challenges faced by computational chemists when collaborating with experimental teams?

Computational chemists often work closely with experimental chemists to design and interpret experiments, but one common challenge is ensuring clear communication about the limitations and accuracy of computational models. Translating complex simulation data into actionable insights for experimental teams can require extra effort, especially when addressing differences in terminology or expectations about timelines and results. Successful collaboration typically involves regular meetings, shared documentation, and a willingness to iterate on both computational predictions and experimental approaches.

Do I need a PhD to be a computational chemist?

A PhD is typically required for advanced roles in computational chemistry, especially those involving independent research or leadership. However, entry-level positions may be available to candidates with a master's degree or relevant experience in programming, chemistry, or related fields. Strong skills in computational tools and programming languages can also be important for success in this field.

Is computational chemistry a good career?

Computational chemistry is a viable career that involves using computer simulations and modeling to study chemical systems, often requiring skills in programming and chemistry. It offers opportunities in academia, industry, and research institutions, with a growing demand for expertise in software tools and data analysis. Job prospects depend on education level, experience, and specialization in areas like drug discovery or materials science.

What are the key skills and qualifications needed to thrive as a Computational Chemist, and why are they important?

To thrive as a Computational Chemist, you need a solid background in chemistry, physics, and mathematics, typically supported by an advanced degree (MSc or PhD) in chemistry or a related field. Proficiency in quantum chemistry software (such as Gaussian or VASP), programming languages (like Python or Fortran), and experience with high-performance computing systems are essential. Strong problem-solving skills, analytical thinking, and effective communication help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualities are crucial for designing accurate simulations, interpreting data, and contributing valuable insights to research and development projects.

What do computational chemists do?

Computational chemists use computer simulations and modeling to study chemical structures, reactions, and properties. They develop algorithms and utilize software to predict molecular behavior, often working with tools like quantum mechanics and molecular dynamics. Their work supports drug discovery, materials design, and understanding chemical processes in various industries.

What is computational chemistry?

Computational chemistry is a branch of chemistry that uses computer simulation and mathematical models to study the structures, properties, and reactions of molecules. It allows scientists to predict the behavior of chemical systems by solving quantum mechanical and classical equations. This field plays a critical role in drug discovery, materials science, and understanding complex molecular interactions, often saving time and resources compared to experimental methods. Computational chemists use specialized software and high-performance computing to carry out their analyses and simulations.

Does computational chemistry pay well?

Computational chemistry professionals typically earn competitive salaries, especially with advanced degrees and experience in programming, modeling, and software tools. Salaries vary by industry, location, and level of expertise but generally align with other scientific research roles, with higher pay often available in pharmaceuticals, materials science, and academia.

What Is Computational Chemistry?

Computational chemistry is a subdiscipline of chemistry, and it involves using computer simulation methods to analyze chemical compounds, molecules, and other problems in chemistry. Computational chemistry is necessary for solving complex problems in chemistry that do not have analytical solutions and require the use of powerful computing. Computational chemistry has many applications, and it is very common in pharmaceutical production and research where physicists, chemists, and other clinical researchers need to predict the properties of particular chemical reactions.

What cities are hiring for Computational Chemistry jobs? Cities with the most Computational Chemistry job openings:
What are the most commonly searched types of Computational Chemistry jobs? The most popular types of Computational Chemistry jobs are:
What states have the most Computational Chemistry jobs? States with the most job openings for Computational Chemistry jobs include:
Infographic showing various Computational Chemistry job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.
Scientific Director, Computational Chemistry

Scientific Director, Computational Chemistry

Neurocrine Biosciences

San Diego, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Who We Are:

Neurocrine Biosciencesis a leading biopharmaceutical company with a simple purpose: to relieve suffering for people with great needs. We are dedicated to discovering, developing and commercializing life-changing treatments for patients with under-addressed neurological, psychiatric, endocrine and immunological disorders. The company's diverse portfolio includes FDA-approved treatments for tardive dyskinesia, chorea associated with Huntington's disease, classic congenital adrenal hyperplasia, hyperphagia in patients with Prader-Willi syndrome, endometriosis* and uterine fibroids*, as well as a robust pipeline including multiple compounds in mid- to late-phase clinical development across our core therapeutic areas. For more than three decades, we have applied our unique insight into neuroscience and the interconnections between brain and body systems to treat complex conditions. We relentlessly pursue medicines to ease the burden of debilitating diseases and disorders, because you deserve brave science. For more information, visitneurocrine.com, and follow the company onLinkedIn,X, Facebook and YouTube. (*in collaboration with AbbVie)


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.

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Your Contributions (include, but are not limited to):
  • 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 OR

  • Masters in computational chemistry or related field AND 10+ years of experience applying computational chemistry in a drug discovery setting OR

  • 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., Schrodinger, 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

#LI-DM1

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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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 to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans.