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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 ...

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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How much do computational chemistry jobs pay per hour?

As of Sep 13, 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 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.

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 are the key skills and qualifications needed to thrive as a computational chemist?

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 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.

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.

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 in demand?

Computational chemistry is in demand across industries such as pharmaceuticals, materials science, and chemical research, as it enables faster and cost-effective drug discovery and product development. The role often requires proficiency with software tools like Gaussian or Schrödinger and a strong background in chemistry and programming. Job growth is driven by increasing reliance on simulation and modeling techniques in scientific research.

What can you do with a computational chemistry degree?

A computational chemistry degree prepares individuals for roles such as research scientist, drug developer, or materials scientist, where they use computer simulations and modeling to study chemical systems. Skills in programming, data analysis, and software tools like Gaussian or VMD are often essential for these positions.

What is a computational chemist?

A computational chemist is a scientist who uses computer simulations and modeling techniques to study chemical systems, predict molecular behavior, and assist in drug design or materials development. They often work with specialized software and require knowledge of chemistry, physics, and programming. This role typically involves analyzing data and developing algorithms to solve complex chemical problems.

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:

What are popular job titles for Computational Chemistry?

Popular job titles for Computational Chemistry:

Infographic showing various Computational Chemistry job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 1% As Needed, 68% Full Time, 25% Part Time, and 3% Contract. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution, with an average salary of $46,292 per year, or $22.3 per hour.

Senior Scientist, Computational Chemistry

Boston, MA • On-site

Otsuka Pharmaceutical Co., Ltd
Pharmaceutical and Medicine Manufacturing • 1 - 5K employees

$123K - $177K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

As a Senior Scientist in Computational Chemistry, you will help drive innovation in how we design and optimize drug candidates. You will independently design and implement computational approaches that directly influence project direction from hit identification through clinical candidate nomination. You will apply best practices from machine learning approaches that integrate with physics-based methods to accelerate the design cycle for therapeutic programs. You will join a team of highly skilled computational scientists eager to drive projects while developing and applying new tools and methods with exceptional scientific rigor. This is an exciting opportunity to join a growing computational chemistry team with the passion, resources and mandate to build a world-class group.

Responsibilities
  • Design and execute molecular modeling, docking, and structure analysis to guide chemistry synthesis priorities and support structure-based drug design efforts for therapeutic projects.
  • Collaborate closely with medicinal chemists, biologists and structure biologists to design compounds that address potency, selectivity, and developability objectives.
  • Apply physics-based methods (molecular dynamics, free energy calculations) alongside machine learning approaches to improve models and accelerate the design-make-test-analyze cycle for lead optimization.
  • Contribute to the development of computational workflows and software that enables rapid analysis of compound designs across multiple programs.
  • Stay current with advances in computational chemistry and machine learning for drug discovery to continuously improve methodologies and approaches.
Required Qualifications & Skills
  • PhD in Computational Chemistry, Biophysics, Medicinal Chemistry, or a related field with substantial industry experience (4+ years) and demonstrated independence of research projects in a cross-functional drug discovery environment.
  • Level will be determined based on demonstrated independence, technical depth, project ownership, and ability to influence in a cross-functional drug discovery environment.
  • Strong experience in structure-based drug design, including molecular modeling, molecular dynamics simulations, free energy calculations, protein-ligand docking, and structure analysis to support lead optimization efforts.
  • Demonstrated ability to work collaboratively in cross-functional drug discovery teams and clearly communicate computational results to experimental scientists.
Preferred Qualifications
  • Understanding of medicinal chemistry principles, structure-activity relationships, and the factors that influence compound optimization toward clinical development.
  • Experience working with structural biology data (X-ray crystallography, cryo-EM) and translating structural insights into design hypotheses.
  • Experience with AI toolkits for drug discovery to apply machine learning, multi-agent systems or active learning approaches to improve compound designs.
  • Programming proficiency in Python and experience with machine learning frameworks (scikit-learn, PyTorch, TensorFlow, or similar).
  • Experience with cloud computing platforms (AWS) and Linux environments.

Minimum $123,600.00 - Maximum $177,675.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate’s job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.

Application Deadline: This will be posted for a minimum of 5 business days.

Company benefits:
  • Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.

Jnana Therapeutics is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting Accommodation Request.

Jnana Therapeutics, a wholly owned subsidiary of Otsuka Pharmaceutical, is a clinical-stage biotechnology company leveraging its next-generationRAPIDchemoproteomics platform to discover medicines for highly validated, challenging-to-drug targets to treat diseases with high unmet needs. Jnana is focused on developing first- and best-in-class therapies to treat a wide range of diseases, including rare diseases and immune-mediated diseases. Located in Boston, Jnana brings together scientific leaders in small molecule drug discovery and development, and a highly experienced management team. For more information, please visitwww.jnanatx.comand follow us onTwitter/XandLinkedIn. At Jnana, you'll join a diverse, passionate team dedicated to advancing therapies for challenging diseases. Our collaborative, purpose-driven culture fosters innovation, urgency, and belonging—making Jnana a great place to work!

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