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Entry Level Computational Scientist Jobs (NOW HIRING)

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... Entry-level software engineers are expected to bring significant skills and training, and then to ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational ... The ability to effectively focus a significant amount of computational power on solving critical ...

This entry level/early career professional, applied science position conducts numerical ... This is accomplished through standard, as well as development of specialized computational tools ...

This entry level/early career professional, applied science position conducts numerical ... This is accomplished through standard, as well as development of specialized computational tools ...

Bioinformatics Analyst

Palo Alto, CA · On-site

$65K - $90K/yr

... one entry level with BS degree required; and one mid-level with MS degree required. Requirements * BS or MS in statistics, applied mathematics, computer science or other computational science

Showing results 21-40

Entry Level Computational Scientist information

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$50.5K

$111.3K

$137.5K

How much do entry level computational scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level 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 is an entry level computational scientist?

Entry level computational scientists are professionals who use computer-based models, simulations, and data analysis to solve scientific and engineering problems. They typically have a background in fields such as physics, chemistry, biology, engineering, or computer science, and are skilled in programming and mathematical modeling. At the entry level, they assist senior scientists by developing algorithms, running simulations, and analyzing results. Their work supports research and innovation in areas like drug discovery, climate modeling, and materials science. Entry level roles are ideal for recent graduates looking to gain experience in applying computational methods to real-world scientific challenges.

What types of projects do entry level computational scientists typically work on, and how do they collaborate with other team members?

Entry-level computational scientists are often assigned to support ongoing research projects by developing code, running simulations, and analyzing data under the guidance of senior scientists. They frequently collaborate with interdisciplinary teams, including domain experts, data analysts, and software engineers, to ensure that computational models align with project goals. Communication and teamwork are essential, as these scientists may participate in regular meetings, present findings, and incorporate feedback from colleagues. This collaborative environment helps new hires quickly build technical and professional skills while contributing to impactful scientific work.

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

To thrive as an Entry Level Computational Scientist, you need a solid background in mathematics, programming (such as Python, C++, or R), and data analysis, typically with a bachelor’s or master’s degree in a related field. Familiarity with scientific computing tools, simulation software, and version control systems like Git is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and explain complex concepts. These skills and qualities enable accurate modeling, efficient teamwork, and successful outcomes in research or industry projects.

What is the difference between Entry Level Computational Scientist vs Entry Level Data Analyst?

AspectEntry Level Computational ScientistEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Mathematics, or related field; some roles prefer internships or certifications in programming or data analysisBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL) are common
Work EnvironmentResearch labs, tech companies, or scientific organizations; focus on modeling and simulationsBusiness, finance, healthcare sectors; focus on interpreting data and generating reports
Employer & Industry UsageResearch institutions, government agencies, tech firmsCorporations, consulting firms, healthcare providers

Entry Level Computational Scientists focus on developing models and simulations using programming and scientific computing, often in research settings. Entry Level Data Analysts primarily interpret data to support business decisions, working with data visualization and statistical tools. While both roles require strong analytical skills and some programming knowledge, their work environments and industry applications differ significantly.

More about Entry Level Computational Scientist jobs

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What are the most commonly searched types of Computational Scientist jobs?

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What states have the most Entry Level Computational Scientist jobs?

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What are popular job titles related to Entry Level Computational Scientist jobs?

For Entry Level Computational Scientist jobs, the most frequently searched job titles are:

Infographic showing various Entry Level Computational Scientist job openings in the United States as of September 2026, with employment types broken down into 4% Internship, 2% As Needed, 87% Full Time, 4% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Software Engineer, Entry-Level

San Jose, CA • On-site

Muon Space
Space Research Administration • 11 - 50 employees

$142K - $169K/yr

Full-time

Re-posted 6 days ago


Job description

About the role

Software Engineers at Muon work on embedded software on satellites and test equipment, physics simulations, customer-facing APIs and services, user interfaces, scheduling algorithms, data pipelines, computer vision, signal processing, cloud systems and more. They make it possible to build, test, launch, and run constellations of satellites for a wide variety of missions.

Entry-level software engineers are expected to bring significant skills and training, and then to quickly develop into experts in their domains to accelerate Muon's Mission with high quality software and systems. They must be a high performer ready to work in an exciting, fast-paced environment that values continuous improvement, embraces taking risks, and crafts the right solutions to delight our customers.

This position is hybrid and requires working on-site in our San Jose, CA office three days per week.

Responsibilities
  • Take ownership of the code for a new software capability on ground or in space
  • Propose and iterate on the design for software components
  • Write tests and monitoring to validate correctness of one's own code
  • Conduct analysis to support both development and testing
  • Quickly learn new skills, technology and techniques
  • Communicate clearly and accurately
  • Complete work in a timely manner
Required Qualifications
  • A bachelor's degree in computer science, aerospace engineering, computational mathematics or a related field
  • Proficient in C++, Python, TypeScript or a similar high-level language
  • Coursework or relevant experience in operating systems, algorithms, data structures, physics and statistics
Desirable Qualifications
  • Expertise in embedded software, network protocols, hardware and software testing, FPGA programming, GPU programming or other relevant disciplines
  • Experience with satellites, robots, or other autonomous systems
  • Previous experience on technical project teams (i.e. programming, robotics or rocket club, etc.)
  • Understanding of orbital mechanics
  • Experience with mathematical optimization, machine learning, signal processing or advanced algorithms
  • Experience with cloud environments and distributed systems
  • Advanced coursework or experience in physics, statistics, distributed systems, or embedded software
Salary

The salary range for this role is $142,000 - $169,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.Â