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Entry Level Computational Scientist Jobs (NOW HIRING)

Cornelis Networks

Thermal Design Engineer

Wayne, PA · On-site

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 ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

University of Utah

Post Doc Res Assoc

Campus, IL · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

Muon Space

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 ...

Muon Space

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 ...

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$65K - $73K/yr

... P1 - Entry Level Pro FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per ... Computational Biology, Biomedical Data Science). * Strong publication record for your career stage ...

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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 Aug 20, 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.

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Entry Level Computational Scientist jobs near you
Infographic showing various Entry Level Computational Scientist job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, and 4% Temporary. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Thermal Design Engineer

Cornelis Networks

Wayne, PA • On-site

Full-time

Posted 14 days ago

Job description

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational understanding of heat transfer and fluid dynamics. In this entry-level role, you will support the design, simulation, and physical testing of thermal management solutions for the next-generation Cornelis Networks Fabric platforms. You will work closely with senior thermal, mechanical, and electrical engineers to evaluate high-performance electronics cooling from the component level up to the system level.
The ability to effectively focus a significant amount of computational power on solving critical problems through the use of artificial intelligence, data analytics, and modeling/simulation techniques is vital to many scientific, commercial, and government organizations, and it is the mission of Cornelis Networks to deliver innovative purpose-built interconnect solutions that enable our customers to optimally apply vast computational resources to solve the world's toughest problems.
Key tasks include:
  • Lab Testing & Validation: Set up and execute thermal measurements and qualification testing. Apply thermocouples, manage data acquisition (DAQ) systems, and collect empirical data to validate thermal designs.
  • Simulate & Model: Assist senior engineers in executing computational fluid dynamics (CFD) and thermal simulations, including modeling, pre-/post-processing, and analysis.
  • Component Thermal Design Support: Support the thermal design and evaluation of PCBs, heat sinks, and thermal interface materials (TIMs).
  • Data Analysis & Reporting: Analyze thermal test data, summarize findings, and contribute to formal engineering test reports and guidelines.
  • Cross-Functional Collaboration: Partner with mechanical, electrical, and manufacturing teams to understand design constraints and support product readiness.

Minimum qualifications
  • BS in Mechanical Engineering with a focus in Thermodynamics, Heat Transfer, Fluid Dynamics, or Thermal Engineering.
  • 0-3 years of experience in thermal engineering (internship, co-op, or academic lab experience qualifies).
  • Hands-on experience in a lab environment: familiarity with thermal sensors, data acquisition, and test execution.
  • Familiarity with 3D MCAD tools (CREO preferred, SolidWorks acceptable).
  • Familiarity with basic CFD tools and concepts (academic or industry exposure to Cadence Celsius EC, Siemens Flotherm, or Ansys Icepak is highly desired).
  • Understanding of basic cooling methods (conduction, convection, heat sinks, and thermal interface materials).
  • Excellent communication and interpersonal skills; eager to learn and work in a cross-disciplinary team.

Preferred qualifications:
  • MS in Mechanical Engineering.
  • Scripting experience (e.g., Python, MATLAB) for test automation or thermal data analysis.
  • Prior experience specifically using Cadence Celsius EC for electronics cooling simulation.
  • Familiarity with liquid cooling systems, cold plates, or two-phase cooling methods.
  • Exposure to high-performance computing (HPC) or data center environments.

Location
This position is hybrid (on-site with some remote work possible) at the headquarters in the Chesterbrook Corporate Center in Wayne, PA. The successful candidate resides within commuting distance.
Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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