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Computational Research Jobs (NOW HIRING)

Profluent

Research Intern, Computational

Emeryville, CA · On-site +1

$1.6K/wk

We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This is a rare opportunity to tackle open-ended ...

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How much do computational research jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for computational research in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in computational research, and how can they be addressed?

Professionals in computational research often encounter challenges such as managing large datasets, optimizing algorithms for efficiency, and ensuring reproducibility of results. Collaborating effectively with interdisciplinary teams—such as domain scientists, software engineers, and data analysts—can also be complex due to differing technical backgrounds. To address these challenges, it's essential to stay updated on the latest tools and best practices, document code thoroughly, and communicate regularly with collaborators to align goals and methodologies. Many organizations also offer mentorship programs and workshops to support ongoing professional development in these areas.

Is computational science a good career?

Computational research is a viable career that involves using computer models, algorithms, and data analysis to solve complex scientific problems. It often requires strong programming skills, knowledge of scientific domains, and proficiency with tools like Python, R, or MATLAB. The field offers opportunities in academia, industry, and government, with demand driven by advancements in data science, machine learning, and high-performance computing.

What is computational research?

Computational research involves using computer-based models, simulations, and data analysis to solve complex scientific and engineering problems. Researchers in this field use algorithms, software, and high-performance computing to analyze large datasets, perform simulations, and make predictions. This approach is widely used across disciplines such as physics, biology, chemistry, and engineering to complement experimental and theoretical work.

What is the difference between Computational Research vs Data Scientist?

AspectComputational ResearchData Scientist
Required CredentialsAdvanced degrees in computer science, mathematics, or related fieldsDegree in statistics, computer science, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, academic institutions, R&D departmentsCorporate settings, tech companies, finance, healthcare
Industry UsagePrimarily in academia, government, and research institutionsWidely in business, tech, and consulting sectors

Computational Research focuses on developing new algorithms and models for scientific discovery, often in academic or research settings. Data Scientists analyze and interpret large datasets to inform business decisions. While both roles require strong technical skills and programming knowledge, Computational Research emphasizes theoretical development, whereas Data Scientists focus on practical data analysis and insights.

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

To excel in Computational Research, a strong background in mathematics, computer science, and domain-specific knowledge is essential, often supported by advanced degrees such as a master's or PhD. Proficiency with programming languages (like Python, R, or C++), data analysis tools, and high-performance computing systems is typically required. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for success in interdisciplinary research environments. These skills and qualities are important because they enable researchers to design innovative solutions, analyze complex data, and drive scientific discovery.

What is a computational researcher?

A computational researcher is a professional who uses computer-based methods, algorithms, and simulations to analyze data and solve complex problems across fields like science, engineering, and data analysis. They often work with programming languages, statistical tools, and high-performance computing environments to develop models and interpret large datasets.

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. Advanced skills in programming, data analysis, and domain-specific knowledge can lead to higher salaries, especially in research institutions and tech companies.

What is the highest paid research job?

In computational research, senior roles such as Principal Scientist or Research Director typically have the highest salaries, often exceeding six figures annually. These positions require advanced degrees, extensive experience, and expertise in areas like machine learning, data analysis, or scientific computing.
More about Computational Research jobs
What are the most commonly searched types of Computational Research jobs? The most popular types of Computational Research jobs are:
What job categories do people searching Computational Research jobs look for? The top searched job categories for Computational Research jobs are:
Computational Research jobs near you

Computational Research Analyst

Princeton University

Princeton, NJ • On-site

$76K - $86K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Princeton University rating

9.0

Company rating: 9.0 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

20th of 537 rated colleges and universities

Job description

Overview
Profs. Sam Wang and Simon Levin perform research on aggregated decision-making through rule systems. This work includes research into electoral mechanisms including the voting rules, redistricting, and Electoral College. As part of these efforts, they are recruiting a Computational Research Analyst.
The Computational Research Analyst will develop computational analysis of redistricting and voting rules, toward the goal of performing analytics and scholarship relevant to identifying the performance characteristics and inefficiencies of complex U.S. election systems. A main focus is translating the dimensionality of aggregated cognitive approaches of large populations of voters to their ballots, with the goal of going from modeling all the way to practical interpretability. The work will be made publicly available through peer-reviewed scientific scholarship as well as databases that may be of use to a variety of audiences.
The work will include dissemination and archival of codebooks, scripts, map content, and analytics. Other work includes the investigation of electoral rules such as ranked-choice voting and other modifications, with the goal of quantifying functional impacts. Translation to general audiences is part of the work and will produce content that is understandable to nontechnical readers (for example see one publication, the Princeton Gerrymandering Project). This comes in addition to other scholarship in scientific, statistical, and law journals.
This position is suitable for someone with graduate or postgraduate level competence in one or more relevant subject areas, including computational simulation, model testing, and geospatial analysis.
The term of this appointment is 1 year, with the possibility of renewal based upon satisfactory performance and funding.
Responsibilities
  • Perform original computationally intensive research on ranked-choice voting and other proposed changes to U.S. electoral institutions.
  • Maintain and expand a high-quality database of computationally driven analysis of redistricting plans for all 50 states combining census data, precinct-level results, and other information using Python (including numpy) and GIS software.
  • Publish codebooks and datasets to allow public access to analysis, and to drive legal and academic scholarship.
  • Coordinate with collaborators in several states.

Qualifications
Essential Qualifications:
  • This position requires a Bachelor's degree in Computer Science, Statistics, or related quantitative discipline and 1+ years of experience.
  • Strong quantitative and programming background (Python, QGIS)
  • A willingness to learn GIS software and other programs or tools necessary for the project
  • Experience gathering and combining data from many disparate sources
  • An interest in law, government, or democratic reform
  • Ability to balance and work on several projects simultaneously and successfully
  • Strong orientation toward teamwork and collaborative research

Preferred Qualifications:
  • Background in high-performance computing (C, C++, or a comparable language) is a plus.
  • Excellent writing and verbal presentation skills are also highly desired.

Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
Standard Weekly Hours
36.25
Eligible for Overtime
No
Benefits Eligible
Yes
Probationary Period
180 days
Essential Services Personnel (see policy for detail)
No
Physical Capacity Exam Required
No
Valid Driver's License Required
No
Experience Level
Associate
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Salary Range
$76,000 to $86,000

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