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$38.5K

$107.5K

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How much do remote population health program manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote population health program manager in the United States is $107,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by a remote population health program manager, and how can they be addressed?

As a Remote Population Health Program Manager, one common challenge is ensuring effective coordination and communication across multidisciplinary teams, often spread across different locations and time zones. Additionally, collecting and analyzing data remotely can present difficulties in maintaining data integrity and timely reporting. To address these issues, leveraging robust project management tools, establishing clear communication protocols, and fostering a culture of transparency are essential. Regular virtual meetings and continuous training on digital health platforms also help maintain team cohesion and program effectiveness.

What is a remote population health program manager?

A Remote Population Health Program Manager is a professional responsible for overseeing and coordinating health initiatives aimed at improving the health outcomes of specific populations, all while working remotely. They analyze data, implement health programs, and collaborate with healthcare providers to address health disparities and promote wellness. This role often involves managing projects, developing strategies, and ensuring compliance with healthcare regulations, all from a remote location using digital tools and platforms.

What is the difference between Remote Population Health Program Manager vs Remote Healthcare Coordinator?

AspectRemote Population Health Program ManagerRemote Healthcare Coordinator
CredentialsBachelor's degree in public health, healthcare administration, or related field; certifications like CHES or PMP often preferredHigh school diploma or equivalent; healthcare-related certifications beneficial but not mandatory
Work EnvironmentOversees programs, collaborates with healthcare teams, analyzes data remotelyCoordinates patient care, schedules, and communication primarily via phone/email
Employer & Industry UsageHospitals, health systems, public health agenciesClinics, healthcare providers, insurance companies

The Remote Population Health Program Manager focuses on designing and managing health programs to improve community health outcomes, often involving data analysis and strategic planning. In contrast, the Remote Healthcare Coordinator handles patient interactions, scheduling, and care coordination. Both roles require healthcare knowledge but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a remote population health program manager?

To thrive as a Remote Population Health Program Manager, you need expertise in public health, data analysis, and program management, often supported by a degree in public health or a related field. Familiarity with population health management platforms, EHR systems, and data analytics tools, as well as certifications like CPH (Certified in Public Health), are typically required. Strong leadership, communication, and problem-solving skills are essential for effective team coordination and stakeholder engagement in a remote environment. These competencies ensure successful implementation of population health initiatives, driving improved health outcomes and operational efficiency.
More about Remote Population Health Program Manager jobs
What cities are hiring for Remote Population Health Program Manager jobs? Cities with the most Remote Population Health Program Manager job openings:
What states have the most Remote Population Health Program Manager jobs? States with the most job openings for Remote Population Health Program Manager jobs include:
What job categories do people searching Remote Population Health Program Manager jobs look for? The top searched job categories for Remote Population Health Program Manager jobs are:
Remote Population Health Program Manager jobs near you
Infographic showing various Remote Population Health Program Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,460 per year, or $51.7 per hour.

Data Scientist Senior (Population Health)

Geisinger Health

Danville, PA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 444 frontline employees who took The Breakroom Quiz

452nd of 887 rated healthcare providers

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Senior Data Scientist is a strategic leader in our organization, driving the entire lifecycle of data science initiatives that directly impact healthcare outcomes. Leveraging your deep expertise and mastery of machine learning, you will spearhead the development, implementation, and evaluation of complex AI models in healthcare settings specifically population health. Your ability to translate technical concepts into actionable insights will empower stakeholders to make informed decisions that enhance patient care and operational efficiency. You will also play a crucial role in mentoring and developing junior data scientists and analysts, fostering a culture of data-driven innovation.
Job Duties:
  • Leads and manages the entire lifecycle of data science projects, from conceptualization and design to development, deployment, and ongoing optimization.
  • Build and deploy advanced analytics that explain and predict acute utilization (Inpatient/Emergency Department) and quantify how care delivery changes (e.g., panel shifts, capacity differences, continuity disruption) impact outcomes for heart failure and other high-risk populations.
  • Translate longitudinal patient care data into actionable intervention points across primary care, specialty care, and monitoring programs.
  • Partner with clinical and operational leaders to convert analytic findings into care pathway recommendations, operational triggers, and monitoring protocols; define measures of success and evaluate impact.
  • Collaborate with cross-functional teams to define project scope, objectives, analytic design, validation strategy, and expected impact, ensuring alignment with organizational goals and measurable improvements in healthcare outcomes.
  • Leverages deep understanding of machine learning algorithms to build patient-level and population-level models that support risk stratification, trajectory analysis, forecasting, capacity planning, and scenario analysis for diverse healthcare applications.
  • Utilizes clustering, dimension reduction, and deep generative models to uncover hidden patterns and insights within large, complex healthcare datasets.
  • Applies rigorous validation techniques to ensure model accuracy, stability, fairness, generalizability, and clinical usefulness across patient cohorts, sites, time periods, and operational settings.
  • Oversees the deployment of models into production environments, ensuring seamless integration with existing systems.
  • Extracts insights from clinical and operational data sources (Epic Clarity, HL7, and other enterprise data sources) to inform decision-making and guide project direction.
  • Translates complex technical findings into compelling narratives that resonate with non-technical stakeholders through presentations, dashboards, technical documentation, and stakeholder discussions.
  • Facilitates data-driven decision-making by effectively communicating the value and impact of AI models.
  • Mentors and guide junior data scientists, fostering their professional growth and technical expertise.
  • Promotes a culture of collaboration, knowledge sharing, and continuous learning within the data science team.
  • Contributes to developing best practices and standards for data science and machine learning within the organization.
  • Stays abreast of the latest advancements in machine learning and healthcare research to identify opportunities for improvement and innovation.
  • Experiments with new approaches and technologies to enhance model performance and expand the organization's data science capabilities.

Work is typically performed in an office or remote environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Master's Degree = 2 years; PHD = 4 years ).
Position Details:
Preferred skills:
  • Databricks, Python, SQL, advanced statistical analysis, machine learning, emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment)
  • Healthcare experience preferably with Population Health initiatives
  • Familiarity with Epic Clarity, Caboodle, claims data, CMS/Medicare populations, or payer-provider analytics

Education:
Bachelor's Degree-Related Field of Study (Required)
Experience:
Minimum of 4 years-Relevant experience* (Required)
Certification(s) and License(s):
Skills:
Analytical Thinking, C++ Programming Language, Clinical Data Cleaning, Communication, Group Collaboration, Machine Learning Methods, Python (Programming Language), Statistical Methods, Structured Query Language (SQL)
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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