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Computational Scientist Jobs (NOW HIRING)

UAB

COMPUTATIONAL SCIENTIST (2)

Tampa, FL

$85K - $139K/yr

Our engineers are experienced in design, development, and commercialization of innovative hardware and software systems for the aeronautic and life sciences industry. As one of the nation's leading ...

UAB NOVA RENT

COMPUTATIONAL SCIENTIST (2)

Birmingham, AL · On-site

$85K - $139K/yr

Our engineers are experienced in design, development, and commercialization of innovative hardware and software systems for the aeronautic and life sciences industry. As one of the nation's leading ...

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Computational Scientist information

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$50.5K

$111.3K

$137.5K

How much do computational scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for computational scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computational Scientist position, and why are they important?

To thrive as a Computational Scientist, you need strong analytical skills, advanced knowledge of mathematics and computer science, and typically a graduate degree in a quantitative field such as physics, engineering, or computer science. Familiarity with programming languages like Python, R, or C++, experience with high-performance computing, and tools such as MATLAB or scientific visualization software are vital. Excellent problem-solving abilities, collaboration, and effective communication skills make someone stand out in this position. These skills are crucial for developing models, analyzing complex data, and communicating scientific insights to interdisciplinary teams.

How much do computational scientists make?

Computational scientists in the US typically earn between $70,000 and $120,000 annually, depending on experience, education, and industry. Senior roles or those with specialized skills in programming, data analysis, or modeling can earn higher salaries, especially in research, technology, or healthcare sectors.

What can you do with a computational science degree?

A computational scientist can work in fields such as data analysis, simulation, modeling, and algorithm development across industries like healthcare, finance, and engineering. They often use programming languages, high-performance computing, and statistical tools to solve complex problems. Career options include research roles, software development, and data science positions requiring strong analytical and technical skills.

What is computational science salary?

The salary for a computational scientist typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Advanced skills in programming, data analysis, and domain-specific knowledge can influence compensation levels.

What is a Computational Scientist job?

A Computational Scientist uses advanced computing techniques, algorithms, and simulations to solve complex scientific and engineering problems. They work across various fields, such as physics, biology, chemistry, and engineering, developing models and running simulations to analyze large datasets. Their role often involves programming, data analysis, and collaboration with domain experts to gain insights and make predictions.

What does a computational scientist do?

A computational scientist develops and applies mathematical models, algorithms, and simulations to analyze complex scientific problems. They often work with high-performance computing tools and programming languages like Python or C++ to interpret data and support research across fields such as physics, biology, or engineering.

What does a typical day look like for a Computational Scientist?

A typical day for a Computational Scientist may involve developing and running computer simulations, analyzing large datasets, or creating algorithms to address complex scientific problems. You might spend time coding, troubleshooting computational models, collaborating with researchers or engineers, and documenting your findings. The work often involves both independent problem-solving and teamwork within multidisciplinary groups. Additionally, presenting results, preparing research papers, or contributing to grant proposals could be regular tasks, depending on your specific employer and industry. This dynamic role offers a blend of technical challenges and opportunities for innovation.

More about Computational Scientist jobs
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What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
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Computational Scientist jobs near you
Infographic showing various Computational Scientist job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Principal Scientist, Computational Chemistry

Deep Apple Therapeutics

South San Francisco, CA • On-site, Remote

Full-time

Posted 27 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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