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How much do remote biostatistics intern jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for remote biostatistics intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Biostatistics Intern, and why are they important?

To thrive as a Remote Biostatistics Intern, you need a solid background in statistics or biostatistics, familiarity with study design, and enrollment in or completion of a relevant degree program. Proficiency with statistical software such as R, SAS, or SPSS, and experience with data management systems are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and collaborate remotely with research teams. These skills are crucial for producing accurate analyses and supporting evidence-based decision-making in health and clinical research.

What is the difference between Remote Biostatistics Intern vs Remote Data Analyst?

AspectRemote Biostatistics InternRemote Data Analyst
Required CredentialsUndergraduate or graduate coursework in biostatistics or related fieldDegree in statistics, data science, or related field; often more experienced
Work EnvironmentInternship setting, often part-time or temporary, supervised by senior staffFull-time or part-time remote role, with more independent responsibilities
Industry UsagePrimarily in healthcare, pharmaceuticals, and research institutionsAcross various industries including healthcare, finance, and tech

The Remote Biostatistics Intern typically focuses on supporting research projects under supervision, gaining practical experience in biostatistics. In contrast, a Remote Data Analyst handles data processing, analysis, and reporting independently across multiple industries. While both roles require strong analytical skills, the internship is more educational and entry-level, whereas the data analyst role demands more experience and technical expertise.

What types of projects and responsibilities can a Remote Biostatistics Intern expect during their internship?

As a Remote Biostatistics Intern, you will typically assist with the analysis of clinical trial or observational study data, support the development of statistical analysis plans, and help prepare reports or presentations of findings. Expect to collaborate closely with senior biostatisticians, data managers, and researchers via virtual meetings and shared platforms. You may also be involved in coding statistical analyses using software such as R or SAS, gaining hands-on experience with real-world datasets. This role provides valuable exposure to both technical and collaborative aspects of biostatistics in a professional research environment.

What are Remote Biostatistics Interns?

Remote Biostatistics Interns are students or recent graduates who support research projects by applying statistical methods to biological or health-related data, all while working from a remote location. Their responsibilities often include data analysis, assisting with study design, and collaborating with research teams virtually. This role provides hands-on experience in biostatistics, enhances technical skills, and offers exposure to real-world research applications in fields like public health, pharmaceuticals, or academia.
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Remote Biostatistics Intern jobs near you
Contingent Summer Research Analyst Intern

Contingent Summer Research Analyst Intern

Arbor Research Collaborative for Health

Ann Arbor, MI • Remote

$27/hr

Full-time

Posted 12 days ago

Job description

About the Project

The CKD study uses 5 years of structured EHR data from a large private nephrology practice with over 50,000 patients. The study aims to:

  • Build standardized, analysis-ready analytic files (SAFs) spanning 2021–2025
  • Assess feasibility of longitudinal data elements (labs, prescriptions, disease history)
  • Characterize CD patients using contemporary clinical and treatment data
  • Evaluate the availability of specific variables (imaging, genetics, family history) in unstructured clinical records

The intern will be embedded in an active project team that includes biostatisticians, epidemiologists, data scientists, and clinical nephrologists, and will contribute to analytic work from day one.

Key Responsibilities
  • Contribute to construction and QC of longitudinal electronic health record (EHR) analytic files using structured data
  • Conduct descriptive analyses of patient demographics, lab values, medication use, and clinical characteristics
  • Summarize data availability, follow-up patterns, and measurement frequency across CKD subgroups
  • Support feasibility assessments by generating counts, proportions, and distributional summaries
  • Produce clean, well-documented analytic code and contribute to draft tables and figures
  • Participate in biweekly internal team meetings and client meetings, and contribute to written deliverables
Qualifications

Required:

  • Currently enrolled in a graduate program (MPH, MS, PhD, or equivalent) in biostatistics, epidemiology, data science, health informatics, or a related field
  • Proficiency in Python, R, or SAS for data manipulation and descriptive analysis
  • Comfort working with big data – large, messy, real-world datasets
  • Strong attention to detail and ability to write clean, reproducible, well-commented code
  • Ability to work independently with remote supervision
  • Comfort using AI-assisted coding tools (e.g., Claude, GitHub Copilot)

Preferred:

  • Familiarity with EHR data or claims-based data
  • Experience with longitudinal data structures (e.g., repeated lab measurements, time-to-event)
  • Experience with version control (Git)
Position Details
  • Duration: approximately July 1 – August 29, 2026 (flexible start; contingent on contract execution)
  • Hours: full-time (~40 hrs/week) or near full-time
  • Location: fully remote; no travel required
  • Compensation: paid internship (rate commensurate with experience)
  • Supervisor: Brian Bieber, MS, Research Scientist, Data Science
How to Apply

Submit a CV and a brief cover letter (1 page max) describing your relevant experience and availability. Applications will be reviewed on a rolling basis — early submission is strongly encouraged given the July start date.

Pay

$27 USD per hour

Apply