Senior Research Data Analyst, HEOR/RWE at Komodo Health

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Data & Analytics, Life SciencesIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative field, along with at least three years of industry experience developing production-grade SQL pipelines for large-scale databases. Proficiency in R, Python, or SAS for statistical programming is required, alongside experience with Git version control and command-line workflows. Familiarity with healthcare data models and U.S. medical coding systems (ICD-10, CPT, NDC) is also necessary, as is hands-on experience with administrative claims, EHR, or equivalent RWD.

Responsibilities

The Senior Research Data Analyst will architect end-to-end programming pipelines for large-scale healthcare data extraction, transformation, and validation using SQL, leading the implementation of analytical plans featuring complex statistical modeling in R to support HEOR/RWE studies. They will maintain high-quality standards through rigorous documentation and version control, produce publication-ready deliverables, and present interim and final results to cross-functional stakeholders. Additionally, the role involves collaborating with cross-functional teams to design and execute observational research studies, validating analysis work, supporting internal tool development, and contributing to publications to enhance Komodo’s scientific presence.

Skills

SQL

Data Extraction

Data Transformation

Data Validation

Statistical Modeling

HEOR

RWE

Healthcare Data

Programming Pipelines

Coding Practices

Documentation

Komodo Health

Data-driven insights for patient care improvement

About Komodo Health

Komodo Health focuses on enhancing patient care and minimizing disease impact through data analysis. Their platform, known as the Healthcare Map™, provides detailed insights by examining a wide range of data related to patients, healthcare providers, and health systems. This allows various stakeholders in the healthcare sector, including life sciences companies, patient advocacy groups, healthcare practitioners, and payers, to make informed decisions that improve patient outcomes and reduce costs. Unlike many competitors, Komodo Health emphasizes a patient-centered approach, ensuring that clinical innovations are aligned with the needs of patients. The ultimate goal of Komodo Health is to collaborate with partners to alleviate the burden of disease and ensure that effective therapies reach those who need them most.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$500MTotal Funding

LATE_VCCompany Stage

Data & Analytics, HealthcareIndustries

501-1,000Employees

Benefits

Competitive salary & equity compensation

Full medical, dental, & vision benefits

Mobility across San Francisco & New York City Offices

Paid Family leave

Flexible working hours

Flexible PTO

Personal wellness stipend

401(k) employer match

Risks

Increased competition from AI-driven healthcare analytics firms threatens market share.

Rapid AI evolution may outpace Komodo Health's current capabilities, requiring R&D investment.

Data privacy concerns and regulatory changes could impact data access and operations.

Differentiation

Komodo Health's Healthcare Map offers the largest actionable patient data repository.

The platform integrates AI to provide real-time insights across 330 million patient journeys.

Komodo Health's KPI dataset offers unprecedented depth in patient insurance insights.

Upsides

AI-driven patient stratification enhances personalized medicine and treatment effectiveness.

Real-time data analytics improve patient care and operational efficiency.

AI in drug discovery accelerates therapy development, reducing time and costs.

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