ZipRecruiter

Log In

1

Per Diem Statistical Analyst Jobs (NOW HIRING)

New York Medical College

Data Analyst

Valhalla, NY · On-site

$40/hr

Overview We are seeking skilled and detail-oriented Data Analysts to join our team in a per diem ... Conduct statistical analyses to identify trends, patterns, and correlations within the data.

next page

Showing results 1-20

All JobsPer Diem Statistical Analyst Jobs

Per Diem Statistical Analyst information

See salary details

$30K

$70.5K

$117.5K

How much do per diem statistical analyst jobs pay per year?

As of Jul 13, 2026, the average yearly pay for per diem statistical analyst in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

How does a Per Diem Statistical Analyst typically collaborate with full-time team members on projects?

As a Per Diem Statistical Analyst, you’ll often join projects on an as-needed basis, working closely with full-time analysts, researchers, or project managers. Communication is key, as you may be brought in to address specific analytical needs or assist during high-demand periods. You’ll likely attend virtual meetings, share findings through reports or presentations, and align your work with team goals under tight timelines. Flexibility and the ability to quickly familiarize yourself with ongoing projects and datasets are important for effective collaboration.

What are the key skills and qualifications needed to thrive as a Per Diem Statistical Analyst, and why are they important?

To thrive as a Per Diem Statistical Analyst, you need strong quantitative analysis skills, a solid foundation in statistics, and typically a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as SAS, R, or SPSS, and proficiency in data visualization tools are commonly required. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data accurately and present findings clearly to stakeholders. These skills are crucial for delivering reliable insights and supporting data-driven decision-making in a flexible, project-based work environment.

What is a Per Diem Statistical Analyst?

A Per Diem Statistical Analyst is a professional who provides statistical analysis services on an as-needed or temporary basis, often working for organizations that require short-term data analysis support. They may analyze datasets, interpret results, and create reports to help guide business or research decisions. Unlike full-time analysts, Per Diem Statistical Analysts typically have flexible schedules and are paid based on the hours or days they work. This role is common in healthcare, research, and consulting settings where project-based statistical expertise is required. Their work can be both remote or on-site, depending on the employer's needs.
More about Per Diem Statistical Analyst jobs
What cities are hiring for Per Diem Statistical Analyst jobs? Cities with the most Per Diem Statistical Analyst job openings:
What are the most commonly searched types of Statistical Analyst jobs? The most popular types of Statistical Analyst jobs are:
What states have the most Per Diem Statistical Analyst jobs? States with the most job openings for Per Diem Statistical Analyst jobs include:
What job categories do people searching Per Diem Statistical Analyst jobs look for? The top searched job categories for Per Diem Statistical Analyst jobs are:
Per Diem Statistical Analyst jobs near you
Infographic showing various Per Diem Statistical Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Statistical Analyst

Statistical Analyst

Northwestern University

Evanston, IL • On-site

$8/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 hours ago

Northwestern University rating

7.8

Company rating: 7.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

179th of 553 rated colleges and universities

Job description

Department: MED-Preventive Medicine
Salary/Grade: EXS/8
Job Summary:
The Quantitative Data Sciences Core (QDSC) of the Robert H. Lurie Comprehensive Cancer Center at the Feinberg School of Medicine (FSM) is recruiting a Master's-level statistical analyst to join a highly collegial academic environment in the Division of Biostatistics & Informatics in FSM's Department of Preventive Medicine. This role involves collaborating with cancer research investigators on clinical trials and other clinical, epidemiological, and basic science studies, working under the supervision of Biostatistics faculty members. Duties include managing and analyzing multiple complex datasets; ensuring data integrity, quality, and timeliness of results; developing statistical analysis plans in collaboration with biostatistics faculty; and preparing statistical analysis reports using reproducible pipelines. Level of appointment and responsibilities will be commensurate with experience and education.
Target hiring range for this position will be between $70,017 - $80,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
Specific Responsibilities:
Strategic Planning
  • Manages and plans for data/analysis requests and projects.
  • Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
  • Assists in the development of statistical analysis plans.
  • Manages multiple ongoing projects.
  • Assists in the development of project analysis milestones and timelines, and ensures timely completion.
  • Collaborates with Quality Assurance Monitoring team and other groups on data collection tool development and other data management activities.
Administration
  • Reviews reports before presentation to ensure quality and accuracy.
  • Develops and maintains documentation of process for quality assurance and reporting methodology
Development
  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
  • Determines data structure for local datasets.
  • Cleans and organizes data in preparation for analysis.
  • Prepares statistical analysis reports, including tables and figures, for meetings with investigators, and for presentations and publications.
  • Develops well-documented code using code style best practices.
  • Prepares structured and well-annotated statistical analysis reports using R and R Markdown.
  • Develops data collection tools independently and in collaboration with other groups.
  • Learns new statistical methods as needed for projects.
Performance
  • Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
  • Ensures quality and compliance by reviewing reports.
  • Performs range, logic and consistency checks, reporting errors when preparing reports.
  • Produces readable well-documented code according to code style best practices.
  • Maintains professional and clear communication style.
  • Adheres to project timelines and deadlines.
Miscellaneous
Performs other duties as assigned.
Minimum Qualifications:
  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
  • 4 years data analysis/report writing or similar experience required.
Infrastructure
  • High Performance Computing (HPC)
  • Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
  • Programming Languages and Frameworks
  • Other: R, RStudio, R Markdown
Compliance
  • HIPAA
  • IRB
Analytical
  • critical thinking
  • data mining
  • data modeling
  • database design/ data structure
  • Debugging
  • decision making
  • judgment
  • problem solving
  • Troubleshooting
Project
  • Code documentation
  • collaboration and teamwork
  • organizational skills
  • planning
  • workflow development & documentation
  • write proposals and project charters
Minimum Competencies: (Skills, knowledge, and abilities.)
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
Preferred Qualifications:
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
  • Master's degree in Biostatistics or Statistics, or equivalent level of education.
  • Professional experience applying high-level biostatistical methods (e.g. survival analysis, longitudinal modeling, clinical trial analysis) within a collaborative environment.
  • Prior experience in cancer research, including familiarity with early phase clinical trial design and cancer-specific endpoints.
  • Experience with data management, quality control, data cleaning and curation.
  • Proven ability to work independently, manage multiple projects, and meet competing deadlines within a shared resource collaboration model.
Preferred Competencies: (Skills, knowledge, and abilities)
  • Advanced modeling, including knowledge of survival analysis, regression modeling, longitudinal models, and model diagnostics.
  • Familiarity with or interest in propensity score methods, causal inference, and high-dimensional data analysis.
  • Familiarity with exploratory data analysis, and publication-quality data summaries and data visualization.
Benefits:
At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.
Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.
Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more
Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process .

What Northwestern University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply