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Remote Operations Research Analyst Jobs in Michigan

CSAA

$79K - $105K/yr

Job Title Senior Commercial Insurance Analyst - Remote Requisition Number R7696 Senior Commercial ... Research includes enlisting the collaboration of different departments and gaining their support on ...

Pyrovio

Business Analyst

Ann Arbor, MI · On-site +1

... operational research. You will collaborate with cross-functional teams to assess business needs, design solutions, and implement improvements that enhance performance and profitability. Key ...

CSAA

Superior research, statistical, analytical, data processing and mathematical skills with ability to ... Operation. * Actively shapes our company culture (e.g., supporting employee resource groups ...

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How much do remote operations research analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for remote operations research analyst in Michigan is $89,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $101,500.00 per year, depending on experience, location, and employer.

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

A Remote Operations Research Analyst requires strong analytical and quantitative skills, usually supported by a degree in mathematics, statistics, operations research, or a related field. Familiarity with optimization software (such as CPLEX or Gurobi), programming languages (like Python or R), and proficiency in data visualization tools are commonly expected; certifications in analytics or data science can be advantageous. Excellent problem-solving ability, attention to detail, and clear written and verbal communication skills help analysts effectively present findings and collaborate virtually. These abilities are critical for successfully analyzing complex systems, delivering actionable insights to organizational leaders, and navigating remote work dynamics.

What does a typical workday look like for a Remote Operations Research Analyst?

As a Remote Operations Research Analyst, your typical day involves collecting and analyzing large datasets, building mathematical models to solve business problems, and generating recommendations based on your findings. You'll frequently coordinate with cross-functional teams via virtual meetings, present analytical results, and refine models based on stakeholder feedback. Much of your work will be independent and deadline-driven, but strong communication ensures alignment with project goals. This remote role offers flexibility, but requires self-motivation and effective time management to balance multiple projects and deliver high-quality insights.

What is a Remote Operations Research Analyst job?

A Remote Operations Research Analyst uses mathematical modeling, statistical analysis, and optimization techniques to solve complex business problems, improve processes, and support decision-making. Working remotely, they analyze data, develop simulations, and provide recommendations to enhance efficiency and effectiveness in various industries. They typically collaborate with teams through virtual meetings and tools, using software like Python, R, or Excel. Their work helps organizations optimize resources, reduce costs, and improve overall performance.

What are the most commonly searched types of Operations Research Analyst jobs in Michigan? The most popular types of Operations Research Analyst jobs in Michigan are:
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Remote Operations Research Analyst jobs near you

Contingent Summer Research Analyst Intern

Arbor Research

Ann Arbor, MI • On-site, Remote

$27/hr

Full-time

Posted 17 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
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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