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Comparative Effectiveness Jobs (NOW HIRING)

Mineralys Therapeutics

Senior Medical Director

OR · Remote

$330K - $364K/yr

Provide scientific insights for the development of economic models, burden-of-disease studies, and comparative effectiveness research Cross-Functional Collaboration * Partner closely with Clinical ...

Mineralys Therapeutics

Senior Medical Director

$330K - $364K/yr

Provide scientific insights for the development of economic models, burden-of-disease studies, and comparative effectiveness research Cross-Functional Collaboration * Partner closely with Clinical ...

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$25

$63

$81

How much do comparative effectiveness jobs pay per hour?

As of Jun 2, 2026, the average hourly pay for comparative effectiveness in the United States is $63.51, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $77.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Comparative Effectiveness Researcher, and why are they important?

To thrive as a Comparative Effectiveness Researcher, you need a strong background in epidemiology, biostatistics, and health outcomes research, typically supported by an advanced degree in public health, pharmacy, or a related field. Proficiency with statistical software (such as SAS, R, or STATA) and knowledge of evidence synthesis methods are essential. Analytical thinking, attention to detail, and effective communication skills help translate complex findings for diverse stakeholders. These skills ensure rigorous, actionable research that informs healthcare decision-making and improves patient outcomes.

How does a Comparative Effectiveness professional typically collaborate with clinicians and data scientists to inform healthcare decision-making?

Comparative Effectiveness professionals frequently work in interdisciplinary teams, partnering with clinicians to understand real-world patient outcomes and with data scientists to analyze large healthcare datasets. Their role often involves translating complex statistical findings into actionable insights for healthcare providers and policymakers. Regular meetings, joint research projects, and cross-functional workshops are common, ensuring that research findings are both methodologically sound and practically relevant. This collaborative approach helps bridge the gap between analytical research and clinical practice, making it essential for professionals in this field to have strong communication and teamwork skills.

What is comparative effectiveness research?

Comparative effectiveness research (CER) is a field of study that compares different healthcare interventions and strategies to determine which work best for specific populations or conditions. The goal is to provide evidence on the effectiveness, benefits, and harms of various treatment options so patients and healthcare providers can make informed decisions. CER often uses real-world data and clinical trials to evaluate how treatments perform in routine practice, not just controlled settings. This research helps improve healthcare outcomes and ensures resources are used efficiently.

What is the difference between Comparative Effectiveness vs Clinical Research Coordinator?

AspectComparative EffectivenessClinical Research Coordinator
Primary FocusEvaluating the effectiveness of healthcare interventionsManaging clinical trials and research studies
Required CredentialsMaster's degree or higher in health sciences or related fieldsBachelor's degree; often certification in clinical research
Work EnvironmentHealthcare settings, research institutions, policy analysisHospitals, research centers, clinical trial sites
Industry UsageHealthcare policy, evidence-based medicine, health services researchClinical trial management, research compliance

Comparative Effectiveness professionals analyze and compare healthcare interventions to determine the best options for patient care, often working in policy or research settings. Clinical Research Coordinators manage the day-to-day operations of clinical trials. While both roles are involved in healthcare research, Comparative Effectiveness focuses on evaluating interventions' outcomes, whereas Clinical Research Coordinators handle trial logistics and compliance.

More about Comparative Effectiveness jobs
What job categories do people searching Comparative Effectiveness jobs look for? The top searched job categories for Comparative Effectiveness jobs are:
Comparative Effectiveness jobs near you
Infographic showing various Comparative Effectiveness job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 48% Physical, 3% Hybrid, and 49% Remote job distribution, with an average salary of $132,108 per year, or $63.5 per hour.
Healthcare Data Analyst, Health and Clinical Outcomes Research (Onsite)

Healthcare Data Analyst, Health and Clinical Outcomes Research (Onsite)

UTMB Health

Galveston, TX

Other

Posted 29 days ago

UTMB Health rating

7.4

Company rating: 7.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

248th of 864 rated healthcare providers

Job description

JOB SUMMARY

Responsible for developing, preparing, interpreting, and monitoring moderate-to-complex health process and outcomes data analyses, projections, data modeling, and reports used by system management in decision-making.  Develops, implements, and monitors reporting and analysis solutions from multiple databases to ensure efficient processing, up-to-date tools, improved patient experience, and clinical and operational efficiencies.  Serves as an expert resource to provide reporting and analysis guidance and support. Responsible for weekly, monthly, quarterly, annual, and ad-hoc reports design and distribution.

ESSENTIAL JOB FUNCTIONS
 

  • Supporting high-impact outcomes and translational research projects that span clinical service lines central to UTMB's mission.
  • Conducting data curation, quality review, harmonization, and analysis using Epic Clarity/Caboodle and Epic Cosmos, TriNetX, and Medicare administrative datasets.
  • Designing and implementing reproducible cohort construction, feature engineering, and phenotype definitions using ICD-10/PCS, CPT/HCPCS, LOINC, RxNorm, and related code systems.
  • Applying modern statistical and causal-inference methods including time-to-event models, confounding control, target-trial emulation, missing-data strategies, and robustness checks to observational clinical data.
  • Preparing decision-ready summaries, figures, and narratives for research teams, manuscripts, abstracts, and grant deliverables.
  • Developing clear visualizations and stakeholder-oriented presentations that make complex findings clinically interpretable.
  • Integrating clinical timelines with multi-omics datasets (e.g., scRNA-seq, proteomics, pathogen genomics) using privacy-preserving linkage and disciplined study design.
  • Documenting analytic choices end-to-end with version control and workflow tools so results are traceable and auditable across environments.
  • Adhering to data governance, HIPAA/IRB requirements, and DUA constraints while enabling responsible data access for collaborators.
  • Contributing to H-COR's training culture by sharing templates, code patterns, and documentation that raise the analytic bar across projects.
  • Manuscript and presentation support.
     

EDUCATION & EXPERIENCE

Minimum Qualifications:

  • Bachelor degree in informatics, information technology, business, data science, or a related field.
  • Three (3) years of directly-related work experience

Preferred Qualifications:

  • Master's degree in business administration or related field.
  • Registered Nurse (RN).
  • Experience in analysis, quality reporting, or decision support in the healthcare industry.

Department Marketing Statement:

UTMB's new Center for Health and Clinical Outcomes Research (H-COR) invites applications for a Data Analyst to help convert complex clinical and population-health data into decision-grade evidence.

The analyst will work closely with H-COR's translational informatics lead and other collaborators across UTMB's schools to support comparative effectiveness and safety studies, advanced phenotyping from Epic EHR data, and responsible linkage of EHR with high-dimensional modalities (e.g., single-cell and bulk transcriptomics, proteomics, pathogen genomics). The position emphasizes rigorous causal inference, transparent and reproducible analytics, and clear communication with clinical partners. Experience in using novel data sources including those derived from social media, mobile phones, wearables, and other digital sources is also of interest.    

Salary Range:

Commensurate with experience.

EQUAL EMPLOYMENT OPPORTUNITY:

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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