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What are the typical day-to-day responsibilities of a Remote MPH professional?

As a Remote MPH professional, your daily tasks may include collecting and analyzing public health data, developing health education materials, evaluating program effectiveness, and coordinating virtual meetings with stakeholders or team members. You will often work independently, but regular collaboration through online platforms is common to ensure projects stay on track. Many roles also require preparing written reports, grant proposals, or research summaries for public health initiatives. This remote setup provides flexibility but also demands strong organizational skills and proactive communication to deliver impactful results.

What is a Remote MPH job?

A Remote MPH (Master of Public Health) job is a public health position that allows professionals to work from a remote location rather than a traditional office setting. These roles can include research, epidemiology, health education, policy analysis, and program management, often utilizing digital tools for communication and data analysis. Remote MPH jobs are common in government agencies, non-profits, academic institutions, and private organizations. They offer flexibility while allowing professionals to contribute to public health initiatives globally. Skills in data analysis, communication, and project management are often essential for success in these roles.

What are the key skills and qualifications needed to thrive in the Remote Mph position, and why are they important?

To thrive as a Remote MPH (Master of Public Health), you need a strong background in public health research, data analysis, program evaluation, and epidemiology, typically supported by an MPH degree. Familiarity with statistical software such as SPSS, SAS, or R, as well as experience utilizing collaborative platforms and virtual meeting tools, is essential. Excellent written communication, time management, and independent problem-solving abilities are crucial soft skills for remote work success. These qualifications ensure the ability to execute public health projects effectively while communicating and collaborating from a distance.

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Remote Mph 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 5 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