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Monday Through Friday Remote Emergency Preparedness Jobs

Quality Staffing

ELR Programmer Analyst

Nashville, TN · Remote

$43/hr

This is a remote position working from 8:00 am to 5:00 pm Monday through Friday for a total of 37.5 ... Emergency Preparedness (CEDEP) Division. This position will serve as an ELR Specialist for the SSI ...

TAL Healthcare

Anesthesiology Physician

Fairfield, CT · Remote

$407.90K/yr

... Remote Radiologist . This premier organization offers a unique opportunity to join an expanding ... The position is designed to offer maximum flexibility with a Monday through Friday schedule from 1 ...

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Monday Through Friday Remote Emergency Preparedness information

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$37K

$93.7K

$147.5K

How much do monday through friday remote emergency preparedness jobs pay per year?

As of May 28, 2026, the average yearly pay for monday through friday remote emergency preparedness in the United States is $93,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $112,000.00 per year, depending on experience, location, and employer.

What is the difference between Monday Through Friday Remote Emergency Preparedness vs Monday Through Friday Remote Disaster Response Coordinator?

AspectMonday Through Friday Remote Emergency PreparednessMonday Through Friday Remote Disaster Response Coordinator
CertificationsCPR, First Aid, Emergency Management certificationsDisaster Response certifications, Incident Command System (ICS)
Work EnvironmentRemote, office-based, planning and coordinationRemote, field coordination, on-site response during disasters
Industry UsagePublic safety, government agencies, NGOsDisaster relief organizations, government agencies

While both roles focus on emergency management, Monday Through Friday Remote Emergency Preparedness emphasizes planning and preparedness activities remotely, whereas Monday Through Friday Remote Disaster Response Coordinator involves active coordination and response during disasters, often requiring on-site presence. Understanding these differences helps in choosing the right career path based on your skills and interests.

More about Monday Through Friday Remote Emergency Preparedness jobs
What cities are hiring for Monday Through Friday Remote Emergency Preparedness jobs? Cities with the most Monday Through Friday Remote Emergency Preparedness job openings:
What are the most commonly searched types of Remote Emergency Preparedness jobs? The most popular types of Remote Emergency Preparedness jobs are:
What states have the most Monday Through Friday Remote Emergency Preparedness jobs? States with the most job openings for Monday Through Friday Remote Emergency Preparedness jobs include:
What job categories do people searching Monday Through Friday Remote Emergency Preparedness jobs look for? The top searched job categories for Monday Through Friday Remote Emergency Preparedness jobs are:
Monday Through Friday Remote Emergency Preparedness jobs near you
Infographic showing various Monday Through Friday Remote Emergency Preparedness job openings in the United States as of May 2026, with employment types broken down into 77% Full Time, 17% Part Time, and 6% Temporary. Highlights an 6% In-person, 6% Hybrid, and 88% Remote job distribution, with an average salary of $93,676 per year, or $45 per hour.

Emergency Preparedness Lead

Hirekeyz Inc

Washington, DC • Remote

Contractor

Posted 22 days ago

Job description

Role: Emergency Preparedness Lead

POP: 12+ months Contract

Location: Remote

SCOPE: 

The Emergency Preparedness Lead drives analytic operations supporting disaster response,  healthcare resilience, and national health security initiatives. This role owns the full lifecycle of emergency preparedness analytics — from data collection and provider-level dataset production to beneficiary access assessments during active emergencies. The Lead serves as the primary analytic partner to CMS, translating complex data into actionable intelligence that informs policy and operational decision-making at the federal level.

REQUIRED SKILLS:

  • Bachelor's degree in analytics, public health, data science, or a related field (equivalent experience accepted).
  • 7–10 years of research or analytics experience in emergency preparedness, disaster response, or public health resilience.
  • Strong proficiency in quantitative and qualitative research methodologies.
  • Experience producing and managing large-scale provider or beneficiary datasets.
  • Demonstrated ability to assess healthcare access gaps during emergency or disaster scenarios.
  • Familiarity with federal health programs, CMS data systems, or related government health infrastructure.
  • Strong written and verbal communication skills — ability to present findings to both technical and non-technical stakeholders

PREFERRED SKILLS:

  • Direct experience working with or supporting CMS, FEMA, HHS, or similar federal agencies.
  • Knowledge of national health security frameworks (e.g., National Health Security Strategy, PAHPA).
  • Proficiency in data tools such as SQL, Python, R, Tableau, or SAS.
  • Experience with geospatial analysis related to disaster impact or provider access mapping.
  • Master's degree in public health, analytics, or emergency management

TASKS:

  • Lead and manage analytic workstreams tied to disaster response and healthcare resilience programs.
  • Produce and maintain provider-level datasets used for emergency planning, response, and after-action analysis.
  • Assess beneficiary access to healthcare services during declared emergencies and identify coverage gaps.
  • Support CMS in developing data-driven strategies that advance national health security objectives.
  • Collaborate with federal, state, and local partners to align analytic outputs with operational response needs.
  • Design and execute research studies evaluating the effectiveness of emergency preparedness policies and interventions.
  • Develop reports, briefs, and dashboards that communicate findings clearly to program leadership and federal clients.
  • Monitor evolving emergency scenarios and adjust analytic priorities in real time as needed