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Computational Science Jobs in Maryland (NOW HIRING)

$85K/yr

Scientific/engineering programming experience, with the ability to work in at least one language (MATLAB, C/C++, Python, FORTRAN, etc.) using common algorithms in computational science and ...

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Computational Science information

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$54.8K

$80.7K

$95.1K

How much do computational science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for computational science in Maryland is $80,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $90,700.00 per year, depending on experience, location, and employer.

What is computational science?

Computational science is an interdisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It combines elements of mathematics, computer science, and domain-specific knowledge to create simulations, analyze data, and model physical, biological, or social systems. Computational scientists develop algorithms and use high-performance computing to tackle problems that are difficult or impossible to solve analytically. This field is essential in areas such as climate modeling, drug discovery, engineering, and physics.

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

To thrive as a Computational Scientist, you need a strong background in mathematics, programming (such as Python, C++, or MATLAB), and domain-specific scientific knowledge, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, parallel processing frameworks, and scientific data analysis tools is typically required. Excellent problem-solving skills, collaboration, and effective communication set top candidates apart in interdisciplinary research environments. These skills and qualities are crucial for driving innovative scientific discovery and translating complex data into actionable insights.

What are some common challenges faced by computational scientists when working on interdisciplinary projects?

Computational scientists often collaborate with experts from fields like biology, physics, or engineering, which can present challenges in bridging gaps in domain-specific knowledge and communication styles. Adapting computational models to fit the unique requirements of different disciplines, while ensuring accuracy and efficiency, is a frequent hurdle. Additionally, managing large datasets and integrating diverse computational tools requires strong technical and organizational skills. Open communication and a willingness to learn from colleagues are key to overcoming these challenges and achieving successful project outcomes.

What is the difference between Computational Science vs Data Scientist?

AspectComputational ScienceData Scientist
Required CredentialsDegree in science, engineering, or computational fields; often requires advanced degreesDegree in statistics, computer science, or related fields; often requires knowledge of programming and analytics
Work EnvironmentResearch labs, universities, industry R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulation, modelingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Computational Science focuses on developing models and simulations to solve scientific and engineering problems, often requiring advanced degrees and research environments. Data Scientists analyze large datasets to extract insights and support decision-making, typically working in business or tech sectors. While both roles involve programming and data handling, their primary goals and work settings differ significantly.

Is computational science a good career?

Computational science is a viable career that involves using computer models, simulations, and data analysis to solve complex scientific problems. It typically requires strong skills in programming, mathematics, and domain knowledge, and offers opportunities in research, industry, and academia with competitive salaries and growth potential.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational scientist, data analyst, simulation engineer, or research scientist. Graduates often work in industries like technology, healthcare, finance, or government, utilizing skills in programming, modeling, and data analysis to solve complex problems. Knowledge of tools like Python, MATLAB, or high-performance computing environments is also valuable.

What are popular job titles related to Computational Science jobs in Maryland?

For Computational Science jobs in Maryland, the most frequently searched job titles are:

Infographic showing various Computational Science job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, and 3% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $80,660 per year, or $38.8 per hour.

Computational Scientist - Metasurfaces, Photonics, and Inverse Design

Laurel, MD • On-site

Johns Hopkins Applied Physics Lab
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$85 - $195/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Do you enjoy pushing the limits of computational science for modeling physical systems?

Are you excited by the challenge of designing modern electromagnetic and photonic devices—driving the future of communications, sensing, and computing?

Do you thrive in a collaborative and interdisciplinary environment where ideas move from concept to fabrication, characterization, and real-world prototyping?

If so, we’re looking for someone like you to join our team at APL!

We are seeking a Computational Research Scientist to contribute to ongoing research projects in topics such as RF/optical metasurfaces, integrated photonics, and quantum computing. In this role, you will be developing and applying computational models, simulations, and optimization algorithms for designing novel devices. Your work will help drive research from simulation and fabrication to characterization and real-world deployment. Because our research portfolio spans a variety of topics, success in this role requires curiosity, technical independence, and the ability to quickly learn new physics, methods, and tools from textbooks and scientific literature.

Our group consists of physicists and engineers who are passionate about developing innovative solutions for the future of advanced devices, materials, and systems. We value scientific excellence, continuous learning, and open collaboration in order to tackle high-risk, high-reward ideas! Opportunities for professional growth and mentorship are strongly supported.

As a Computational Scientist, your responsibilities will include:
  • Building simulations using both custom numerical models and commercial tools to design novel electromagnetic devices.
  • Developing and characterizing optimization algorithms, inverse-design methods, and computational design workflows.
  • Taking ownership of design and analysis workflows by independently learning new programming tools, simulation frameworks, and theoretical concepts.
  • Reading scientific literature and applying emerging methods to open-ended research problems.
  • Working closely with engineers and experimentalists to explore new phenomena, build prototypes, analyze data, and validate models against experimental data.
  • Contributing to technical publications and conference presentations.
Qualifications

You meet our minimum qualifications for the job if you...

  • Hold a Bachelor’s degree in Physics, Electrical Engineering, or another field relevant to the duties as described above.
  • Have at least a year of professional or postgrad experience.
  • Have a foundational understanding in areas such as electromagnetics, optics, mathematical modeling, and computational science.
  • Are proficient in programming languages such as Python as well as related packages for data analysis.
  • Have demonstrated the ability to independently learn new technical topics, programming tools, or theoretical concepts through coursework, research, projects, or self-study.
  • Have experience on research projects in a collaborative environment.
  • Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

  • Hold a Master’s degree in Physics, Electrical Engineering, or a closely related field.
  • Have a strong background in electromagnetics, optics, or photonics, especially as related to metasurfaces, integrated photonics, tunable devices, or quantum computing hardware.
  • Have experience using full-wave electromagnetic simulation software (e.g. CST, HFSS, Lumerical, MEEP/MPB, Tidy3D) or multiphysics software (e.g. COMSOL).
  • Have developed advanced optimization algorithms (e.g., inverse design, adjoint optimization, machine learning-driven design).
  • Have experience with numerical methods, PDE solvers, scientific computing, or physics-based simulation from first principles.
  • Have experience working in high-performance computing (HPC) environments or developing scripted workflows for simulation or design automation.
  • Have contributed to technical publications, conference presentations, or research proposals.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign‑on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short‑term disability, long‑term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.

Minimum Rate

$85,000 Annually

Maximum Rate

$195,000 Annually

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