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Comparative Effectiveness Jobs (NOW HIRING)

Slipstream IT

Statistical Analytical Programmer

PA · On-site +1

Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS , with R experience ...

Slipstream IT

Statistical Analytical Programmer

PA · Remote

Experience supporting retrospective cohort, natural history, burden of illness, comparative effectiveness, and other epidemiologic study designs. Strong programming skills in SAS , with R experience ...

Medica

Manager, Clinical Pharmacy

Hopkins, MN · On-site

Comparative effectiveness assessments * Financial and utilization considerations (in partnership with analytics/actuarial/finance) * Develop clear, defensible, evidence based recommendations to ...

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How much do comparative effectiveness jobs pay per hour?

As of Jul 14, 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 top 5 happiest jobs?

Comparative effectiveness roles often involve analyzing healthcare data to improve patient outcomes, which can lead to job satisfaction through meaningful impact. These jobs typically offer a collaborative work environment, opportunities for research, and require skills in data analysis and evidence-based decision-making. While happiness varies by individual, roles in healthcare research and policy are frequently rated highly for job fulfillment.

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.

What is the 70 30 rule in hiring?

The 70/30 rule in hiring suggests that 70% of a candidate's evaluation should focus on their skills and experience, while 30% should consider cultural fit and soft skills. For roles like Comparative Effectiveness, balancing technical expertise with interpersonal abilities is essential for success.

What does comparative effectiveness mean?

Comparative effectiveness in a healthcare or research context refers to the direct comparison of different interventions, treatments, or strategies to determine which works best for specific conditions or populations. Professionals in this field analyze data, often using statistical tools, to inform decision-making and improve patient outcomes.

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.

What jobs pay $4000 a week without a degree?

In the field of comparative effectiveness, roles such as medical or health research analysts, clinical data managers, or health informatics specialists can sometimes reach $4,000 weekly with relevant experience and certifications, even without a traditional degree. These positions often require strong analytical skills, knowledge of healthcare systems, and proficiency with data analysis tools. High-paying roles in healthcare consulting or pharmaceutical sales may also achieve this income level through commissions and performance bonuses.

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.

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.
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 July 2026, with employment types broken down into 54% Full Time, 44% Part Time, 1% Temporary, and 1% Contract. Highlights an 54% Physical, 2% Hybrid, and 44% 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 11 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

265th of 884 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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