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Computational Statistics Jobs (NOW HIRING)

S./B.A. or equivalent, ideally in the life sciences, physical sciences, or computational sciences ... Familiarity with scripting in Python and statistical programming using R * Familiarity with ...

Assistant Professor

Washington, DC · On-site

$110K - $125K/yr

Teach courses in areas such as business analytics, data mining, machine learning, statistical modeling, optimization/operations research, time series, computational statistics, and data visualization.

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role ... Working knowledge of statistical and machine learning methods applied to biological data (e.g ...

... statistical mechanics. * Strong problem-solving abilities, analytical skills, and attention to ... Strong publication record in computational physics or related fields. * Background in developing ...

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Computational Statistics information

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How much do computational statistics jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for computational statistics 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 is the difference between Computational Statistics vs Data Scientist?

AspectComputational StatisticsData Scientist
Required CredentialsDegree in Statistics, Mathematics, or related fieldDegree in Computer Science, Statistics, or related field
Work EnvironmentResearch labs, academia, data analysis teamsTech companies, consulting firms, diverse industries
Employer & Industry UsageAcademic institutions, research organizations, analytics teamsBusiness, technology, finance, healthcare
Common Search & Comparison IntentUnderstanding specialized statistical modeling and algorithmsBroader data analysis, machine learning, and business insights

Computational Statistics focuses on developing and applying statistical algorithms and models using computational methods, often emphasizing theoretical foundations. Data Scientists utilize these techniques along with programming and data manipulation skills to extract insights from large datasets across various industries. While there is overlap, Computational Statistics is more research-oriented, whereas Data Science covers a broader range of data analysis tasks.

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

Professionals in computational statistics often encounter challenges such as managing large, complex datasets, ensuring computational efficiency, and translating statistical findings into actionable insights for non-technical stakeholders. Addressing these challenges typically involves staying updated with the latest software tools, collaborating closely with data engineers and domain experts, and continuously improving communication skills to explain technical results clearly. Proactively seeking opportunities for cross-functional teamwork and ongoing professional development can also help computational statisticians navigate these complexities and advance in their careers.

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

To thrive as a Computational Statistician, you need a solid background in statistics, mathematics, and computer science, usually supported by at least a master's degree in a related field. Expertise in programming languages such as R or Python, experience with statistical software, and familiarity with data management tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for designing robust statistical models, extracting actionable insights from complex datasets, and supporting data-driven decision-making.

What is computational statistics?

Computational statistics is a field of statistics that leverages computational power to perform data analysis, statistical modeling, and inference. It involves the development and application of algorithms, simulations, and numerical methods to solve complex statistical problems that may be difficult or impossible to address analytically. This field is essential for handling large datasets, implementing advanced statistical techniques, and supporting data-driven decision making in various scientific and industrial domains.
More about Computational Statistics jobs
What cities are hiring for Computational Statistics jobs? Cities with the most Computational Statistics job openings:
What states have the most Computational Statistics jobs? States with the most job openings for Computational Statistics jobs include:
Infographic showing various Computational Statistics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Computational Science Research Center Lecturer Pool 2026-2027

Computational Science Research Center Lecturer Pool 2026-2027

California State University

San Diego, CA • On-site

$5K - $6K/mo

Other

Posted 22 days ago


California State University rating

7.7

Company rating: 7.7 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

215th of 535 rated colleges and universities


Job description

Computational Science Research Center Lecturer Pool 2026-2027

Apply now Job no: 556130
Work type: Instructional Faculty - Temporary/Lecturer
Location: San Diego
Categories: Unit 3 - CFA - California Faculty Association, Temporary, Part Time

Description

The Computational Science Research Center in the College of Sciences at San Diego State University is accepting applications for their part-time lecturer pool. 

We welcome applications from prospective temporary faculty with expertise or experience in the following areas:

  • Scientific Computing, Computational Modeling and Simulations, Scientific Data Base Techniques, Numerical Linear Algebra, Numerical Methods for Partial Differential Equations, Vector Calculus

Temporary appointments may be either full- or part-time. Appointments from the part-time pool are often made just prior to the start of the academic term, so applicants must be available on very short notice. The Fall term begins mid-August and end late-December; the Spring term begins mid-January and ends mid-May.  Opportunities for teaching during the Summer Sessions may also be available. Initial appointments are typically one semester or one academic year, to be renewed contingent on satisfactory evaluations and continuing availability of work. Applications will remain in our applicant pool during the academic year you apply.

Qualifications

Criteria 

  • Graduate degree in Applied Mathematics, Computational Mathematics, Computational Science, Data Science, Engineering
  • University teaching experience in Graduate Courses
  • Demonstrated competency in Computational and Data Science, Applied and Computational Mathematics, Computational Statistics
  • Experience in project-based courses
Application Instructions

Prospective temporary faculty who would like their applications on file are invited to send the following items:

  • Curriculum Vitae
  • Contact information for three (3) professional references (new employees only)
  • Cover letter (new employees only)
  • Unofficial transcripts (new employees only)

Initial rank and salary for lecturer faculty are based on professional experience and educational background and are determined by the hiring department. Most new appointees are hired at the Lecturer A or B rank and placed at the beginning of the range.

As of July 2024, the classification salary ranges for the respective ranks are:

Lecturer A: $5,507 - $6,677
Lecturer B: $6,221 - $13,224
Lecturer C: $6,825 - $14,523
Lecturer D: $8,593 - $15,211

Inquiries: For application inquiries, please email Dr. Jose Castillo at jcastillo@sdsu.edu

Pursuant to Education Code 89521, the California State University requires that employment applicants disclose any final administrative decision or final judicial decision issued within the last seven years determining that the applicant committed sexual harassment.  This requirement applies specifically to applicants who meet the minimum qualifications for the Academic or Administrative position they are applying to.  Disclosures shall be provided to the San Diego State University Center for the Prevention of Harassment and Discrimination for further adjudication. Please contact cphd@sdsu.edu.

As part of its commitment to a safe and equitable "OneSDSU" community, SDSU requires that individuals seeking faculty employment provide at the time of application authorization to conduct background checks if they become a finalist for the position; applications without this authorization will be considered incomplete and not considered.

The person holding this position is considered a "mandated reporter" under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment.

A background check (including a criminal records check) must be completed satisfactorily before any candidate can be offered a position with the CSU. Failure to satisfactorily complete the background check may affect the application status of applicants or continued employment of current CSU employees who apply for the position.

Equal Opportunity and Excellence in Education and Employment

All university programs and activities are open and available to all regardless of race, sex, color, ethnicity or national origin. Consistent with California law and federal civil rights laws, San Diego State University (SDSU) provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Our commitment to equal opportunity means ensuring that every student and employee has access to the resources and support they need to thrive and succeed in a university environment and in their communities. SDSU complies with Title VI of the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, the Americans with Disabilities Act (ADA), Section 504 of the Rehabilitation Act, the California Equity in Higher Education Act, California's Proposition 209 (Art. I, Section 31 of the California Constitution), other applicable state and federal anti-discrimination laws, and CSU's Nondiscrimination Policy. We prohibit discriminatory preferential treatment, segregation based on race or any other protected status, and all forms of discrimination, harassment, and retaliation in all university programs, policies, and practices. 

SDSU is a diverse community of individuals who represent many perspectives, beliefs and identities, committed to fostering an inclusive, respectful, and intellectually vibrant environment. We cultivate a culture of open dialogue, mutual respect, and belonging to support educational excellence and student success. Through academic programs, student organizations and activities, faculty initiatives, and community partnerships, we encourage meaningful engagement with diverse perspectives. As a higher education institution, we are dedicated to advancing knowledge and empowering individuals to reach their full potential by prioritizing inclusive curriculum development, faculty and staff training, student mentorship, and comprehensive support programs. At SDSU, excellence is built on merit, talent, diversity, accessibility, and equal opportunity for all.

Advertised: Mar 20 2026 Pacific Daylight Time
Applications close:

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About California State University

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California State University, Fresno is one of 23 campuses in the California State University System. The University's mission is to boldly educate and empower students for success through our values of Discovery, Diversity and Distinction. The current student population is more than 25,000, including a large percentage of students with diverse and culturally rich backgrounds. The University serves the San Joaquin Valley while maintaining deep involvement with the state, nation, and across the globe.

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Long Beach, CA, US