Data Analyst
Exiger
Senior Research Data Analyst, HEOR/RWE
Komodo Health
full-time
Posted on:
Location Type: Hybrid
Location: 🇺🇸 United States
Visit company websiteSalary
💰 $132,000 - $175,000 per year
Job Level
Senior
Tech Stack
PythonSQL
About the role
- Architect end-to-end programming pipelines for large-scale healthcare data extraction, transformation, and validation using SQL to power observational research studies leveraging Komodo Healthcare Map
- Lead implementation of analytical plans featuring complex statistical modeling in R, aligning research objectives with appropriate methodological approaches to support HEOR/RWE studies
- Maintain high-quality standards through rigorous documentation, best coding practices, quality control processes, and version control with Git throughout the study lifecycle
- Produce publication-ready deliverables meeting industry standards for external clients
- Present interim and final results to cross-functional stakeholders and incorporate feedback to refine analyses
- Design and implement standardized programming modules to enhance research reproducibility and analytical efficiency across projects
- Collaborate with cross-functional teams to design and execute observational research studies by developing SQL data pipelines and R-based statistical analyses
- Validate analysis work, troubleshoot issues, and iterate on analytic approaches to ensure alignment with research protocols and study objectives
- Support internal tool development and contribute to publications to enhance Komodo's scientific presence
Requirements
- BS/MS in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative field
- 3+ years of industry experience developing production-grade SQL pipelines (querying, cleaning, transformation) for large-scale databases
- Proficient in R (preferred), Python, or SAS for statistical programming
- Experience with Git version control and command-line workflows
- Hands-on experience with administrative claims, EHR, or equivalent RWD
- Familiarity with healthcare data models and U.S. medical coding systems (ICD-10, CPT, NDC)
- Experience collaborating with epidemiologists/SMEs to execute research studies
- Proven ability to implement statistical analysis (descriptive analytics, regression, hypothesis testing, and visualization)
- Adaptability to learn new tools and methods and ability to manage concurrent projects with competing deadlines
- Nice to have: advanced SQL skills (dbt, query optimization), advanced observational study design experience, HEOR/RWE expertise, advanced statistical modeling (PSM, survival analysis, causal inference, bootstrapping), contributions to peer-reviewed publications, exposure to RESTful APIs, R package development, or Shiny apps
Benefits
- comprehensive health, dental, and vision insurance
- flexible time off and holidays
- 401(k) with company match
- disability insurance and life insurance
- leaves of absence in accordance with applicable state and local laws and regulations and company policy
- eligible for commissions in accordance with a written agreement or plan
- may be eligible for equity awards
- competitive total rewards package including medical, dental and vision coverage
- prepaid legal assistance
- paid time off for vacation, sickness, holiday, and bereavement
- 100% company-paid life insurance and long-term disability insurance
- hybrid work model with remote and local hub options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLRPythonSASstatistical modelingdata extractiondata transformationdata validationversion controlstatistical analysis
Soft skills
collaborationcommunicationadaptabilityproject managementattention to detailproblem-solvingfeedback incorporationdocumentationanalytical thinkingleadership
Certifications
BS in StatisticsMS in StatisticsBS in BiostatisticsMS in BiostatisticsBS in Data ScienceMS in Data ScienceBS in Public HealthMS in Public HealthBS in EpidemiologyMS in Epidemiology
