2

Applied Statistics Remote Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Applied Statistics Staff Scientists play a supporting role in enabling the research efforts of ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Applied Statistics in Science/STAT 401 - Experimental Methods/STAT 414 - Introduction to ...

This is a fully remote position, offering flexibility and the opportunity to collaborate with ... Master's degree or higher in Applied statistics/Biostatistics or a related field.Experience in ...

Remote Role Type: Contract (2-4 Months) Time Commitment: 40 hrs/week (Full-time availability ... You will leverage your deep expertise in production-grade machine learning and applied statistics ...

Python Data Wrangler Internship

Texas, IL · On-site +1

$49.75 - $68.50/hr

Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related ... Can be in office, remote, or hybrid* Employment Type: INTERN

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Applying advanced statistical models and machine learning algorithms to develop and implement ...

This is a fully remote, flexible contract role - work on your own schedule while making a ... applied statistics * Strong command of regression analysis, causal inference, and statistical ...

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... Applying advanced statistical models and machine learning algorithms to develop and implement ...

next page

Showing results 1-20

Applied Statistics Remote information

See salary details

$40.5K

$83.7K

$117K

How much do applied statistics remote jobs pay per year?

As of May 28, 2026, the average yearly pay for applied statistics remote in the United States is $83,657.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Statistics professional in a remote role, and why are they important?

To thrive as an Applied Statistics professional working remotely, you need a solid background in statistical theory, data analysis, and a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as R, Python, SAS, or SPSS, and familiarity with data visualization tools are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills are essential for interpreting data and collaborating virtually. These skills ensure accurate analyses, clear insights, and successful teamwork, which are crucial for delivering impactful statistical solutions in a remote environment.

How does working remotely in an applied statistics role influence collaboration and project management with cross-functional teams?

In a remote applied statistics position, collaboration often relies on digital tools such as video conferencing, shared code repositories, and project management platforms. Statisticians frequently work with data scientists, engineers, and business stakeholders, making clear communication and documentation essential for successful project outcomes. Regular virtual meetings and asynchronous updates help align team objectives and ensure data-driven insights are integrated effectively. While remote work offers flexibility, it also requires proactive engagement to stay connected and maintain productivity within a distributed team environment.

What is an Applied Statistics Remote job?

An Applied Statistics Remote job involves using statistical methods and data analysis techniques to solve real-world problems, all while working from a remote location. Professionals in this field collect, analyze, and interpret data to provide insights for decision-making across various industries such as healthcare, finance, and technology. Remote applied statisticians often collaborate virtually with teams, utilize statistical software, and communicate findings through reports or presentations. This role requires strong analytical skills, proficiency in statistical tools, and the ability to work independently.

What is the difference between Applied Statistics Remote vs Data Analyst?

AspectApplied Statistics RemoteData Analyst
Required CredentialsBachelor's or Master's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentRemote, often project-based or contract rolesRemote or on-site, typically in corporate or tech settings
Industry UsageResearch, academia, consulting, tech companiesBusiness, finance, marketing, tech companies
Common Search/ComparisonApplied Statistics RemoteData Analyst

Applied Statistics Remote and Data Analyst roles share similar educational backgrounds and often work in remote environments. However, Applied Statistics Remote roles tend to focus more on statistical modeling and research, while Data Analysts often handle data visualization and reporting for business insights. Both roles are in high demand across various industries, with Applied Statistics Remote positions leaning more toward research and academic projects.

More about Applied Statistics Remote jobs
What cities are hiring for Applied Statistics Remote jobs? Cities with the most Applied Statistics Remote job openings:
What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What states have the most Applied Statistics Remote jobs? States with the most job openings for Applied Statistics Remote jobs include:
Infographic showing various Applied Statistics Remote job openings in the United States as of May 2026, with employment types broken down into 57% Full Time, 14% Part Time, and 29% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $83,657 per year, or $40.2 per hour.
Applied Statistics Staff Scientist at NSF-NCEMS

Applied Statistics Staff Scientist at NSF-NCEMS

The Pennsylvania State University

On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

This position is funded for 3 year(s); continuation past 3 year(s) will be based on university need, performance, and/or availability of funding.

POSITION SPECIFICS

TheU.S. National Science Foundation National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS)and theInstitute for Computational and Data Sciences (ICDS)at Penn State seek an outstanding scientist to fill an Applied Statistics Staff Scientist (Research Data Scientist - Intermediate Professional OR Advanced Professional level) position dedicated to advancing the collaborative research of the Center'sWorking Groups.

NCEMS is an interdisciplinary research Center positioned at the interface of data science with molecular and cellular biology. The Center provides leadership in the integration of diverse, publicly available datasets, enabling cross-disciplinary teams of scientists to synthesize knowledge and pursue fundamental questions at the forefront of the life sciences.

About the Position: Applied Statistics Staff Scientists play a supporting role in enabling the research efforts of multidisciplinary scientific teams supported by NCEMS, typically contributing to 2-3 projects simultaneously.

Work Arrangement: This position has the potential to be a hybrid of remote and on-site work, with a minimum requirement of 3 days per week on-site at the Penn State University Park campus. This position does notpermitfully remote work.

Duties and Responsibilities

  • Collaborate with NCEMS Working Groups to design and apply rigorous statistical approaches for integrating, analyzing, and visualizing complex molecular and cellular biology data.

  • Apply inferential statistics and formal hypothesis testing to biological datasets, including model specification, estimation, uncertainty quantification, multiple testing control, and power/sample size considerations.

  • Develop andvalidatestatistical models for diverse data types and modalities (e.g., genomic, transcriptomic, epigenomic, proteomic, metabolomic/lipidomic, single-cell, and multi-omics), including generalized linear models and mixed-effects/hierarchical models where appropriate.

  • Support the publication of intermediate data products, code, and documentation.

  • Stayup-to-datewith the latest advancements in the application of statistics to bioinformatics, computational biology, and available biological datasets.

Education and Experience:

  • M.S. or PhD in Statistics, Biostatistics, Data Science, Computational Biology, Bioinformatics, ora related fieldispreferred.

  • Strongproficiencyin R and/or Python for statistical modeling and data analysis.

  • Demonstrated experience and understanding of statistical foundations and applied inferenceincluding:probability and estimation, study design, linear models/GLMs, multiple comparisons, resampling, and the ability toidentifyand appropriately address confounders, mediators, and effect modifiers.

  • Experience working with complex molecular and cellular datasets such as genomic, transcriptomic, epigenomic, proteomic, metabolomic/lipidomic, and single-cell or multi-omics data, including common pitfalls (batch effects, sparsity, confounding).

  • Experience developing reproducible statistical workflows (version control, documentation, code review practices) and producing publication-quality tables/figures.

  • Publications in peer-reviewed journalsdemonstratingcontributions to the field.

  • Experience supporting/contributing to multi-PI projects.

Candidates must alsodemonstratea commitment to ethical conduct and research integrity, strong work ethic, strong interpersonal and written communication skills, and the ability to work well in a team environment.

Application materials:Required documents include the following:

  • A current Curriculum Vitae (CV) or Resume

  • A cover letter detailing the candidate's interest in the role

Benefits: Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. For more detailed information, please visitourBenefits Page.

MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS

If filled as Research Data Scientist - Intermediate Professional, this position requires: Bachelor's Degree 1+ years of relevant experience; or an equivalent combination of education and experience accepted Required Certifications: None If filled as Research Data Scientist - Advanced Professional, this position requires: Bachelor's Degree 3+ years of relevant experience; or an equivalent combination of education and experience accepted Required Certifications: None

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.Penn State does not sponsor or take over sponsorship of a staff employment Visa. Applicants must be authorized to work in the U.S.

SALARY & BENEFITS

The salary range for this position, including all possible grades, is $61,800.00 - $115,100.00.

Salary Structure - Information on Penn State's salary structure

Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

Federal Contractors Labor Law Poster

PA State Labor Law Poster

Penn State Policies

Copyright Information

Hotlines


Pennsylvania State University logo

About Pennsylvania State University

Sourced by ZipRecruiter

Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

Industry

Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

Social media