1

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 ...

next page

Showing results 1-20

Computational Statistics information

See salary details

$40

$54

$74

How much do computational statistics jobs pay per hour?

As of Jul 11, 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.

Is statistician a high paying job?

A statistician is generally considered a well-paying profession, with median salaries often exceeding national averages for many other roles. Salaries can vary based on experience, education, industry, and location, with those working in data-intensive fields or in senior positions earning higher compensation. Strong skills in statistical software and data analysis can also influence earning potential.

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.

Is AI replacing statisticians?

Computational statisticians use statistical methods and programming skills to analyze data and develop models. AI tools can automate certain tasks, but statisticians are essential for designing experiments, interpreting results, and ensuring data quality. Their expertise remains valuable in developing, validating, and applying AI and machine learning models effectively.

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 within data analysis that involves developing and applying algorithms and computer-based methods to analyze large and complex datasets. It combines statistical theory with programming skills, often using tools like R or Python, to perform simulations, model fitting, and data visualization efficiently.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often under roles such as cryptanalysts, data analysts, or intelligence analysts. These positions typically require strong skills in statistics, coding, and problem-solving, and may require security clearances and relevant educational backgrounds such as mathematics or computer science.
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 July 2026, with employment types broken down into 3% Internship, 88% Full Time, and 9% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.
Computational Statistician (R2-R4)

Computational Statistician (R2-R4)

Eli Lilly and Company

Indianapolis, IN • On-site

$46K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

11th of 74 rated pharmaceutical


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Eli Lilly and Company seeks a Computational Statistician (R2-R4) to develop data analysis plans for clinical trials. Assist in selecting statistical methods for data analysis. Conduct peer reviews of work products from statistical colleagues. Establish reporting databases and analyze clinical trial data and real-world data by working with clinical research scientists and project statisticians. Implement previously outlined statistical analysis plans. Ensure accuracy of reported data and statistical analyses by applying relevant disease states and competitive landscapes. #LI-DNI
Position requires a Master's degree in Biostatistics, Statistics, Applied Science, Computer Science, or related a STEM field, and 1 year of academic or employment experience with implementing statistical analyses and reporting. Academic or employment experience must include a minimum of: 1 year of experience with statistical programming software, including SAS, R and SQL; 1 year of experience with investigating raw data issues identified during statistical analysis; 1 year experience with developing SDTM and ADaM specifications and datasets by CDISC standards; 1 year experience with EMR and Claims database; and 1 year experience with developing visualization dashboards for data exploration and reporting. Telecommuting benefit available. #LI-DNI
Job location: Indianapolis, IN.
To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-107972 when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Eli Lilly and Company, Lilly Corporate Center, Drop Code 1093, Indianapolis, IN 46285.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$46,842.00 - $137,667.00 per year
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly

What Eli Lilly and Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Eli Lilly logo

About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876