Biostatistician II – Part-time

Cardiovascular Associates of America - CVAUSA

Part-time biostatistician analyzing EHR, claims, and registry data for Cardiovascular Associates of America. Producing reproducible evidence to improve cardiovascular care and outcomes.

Posted 8/13/2026part-timeRemote • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical analysis and data management, with proficiency in SAS and R for handling complex datasets. Capable of drafting statistical analysis plans and communicating findings effectively to diverse stakeholders.

Highest-signal resume keywords

Statistical Analysis Plans (SAPs)Multivariable RegressionSAS ProgrammingReal-World Data SourcesData Governance and HIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisMultivariable AnalysisSurvival AnalysisLongitudinal ModelsData PreparationCohort DefinitionSample-Size CalculationsSQL ProficiencyMissing-Data ApproachesData-Linkage Methods

Soft Skills

Strong Communication SkillsIndependent Work

Tools & Technologies

SASRPower BI

Certifications & Qualifications

Master's Degree in Biostatistics, Statistics, or EpidemiologyDoctoral Degree (PhD) in Relevant Field

Industry Keywords

EHRClaims DataClinical RegistriesGood Clinical PracticeCardiovascular Clinical Research

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Independently conduct statistical analyses for assigned observational cohort, registry, and quality studies, including data preparation, cohort definition, and application of appropriate analytic methods
Draft statistical analysis plans (SAPs) for defined studies and contribute to protocol and study design, including sample-size and power calculations
Apply multivariable regression, survival analysis, longitudinal/mixed-effects models, and confounding-adjustment methods appropriate to real-world data
Prepare, clean, link, and quality-control real-world datasets from EHR, claims, and registry sources
Define phenotypes and endpoints using standard code sets such as ICD-10-CM and CPT
Produce validated, reproducible analytic code in SAS and/or R, with tables, listings, and figures for reports and publications
Contribute to abstracts, manuscripts, posters, and grant applications, including methods and results sections
Communicate analytic findings clearly to investigators, clinical leaders, and internal non-technical stakeholders
Report to the Chief Research and Quality Officer

Requirements

What you’ll need

Required master's degree (MS, MPH, or equivalent) in biostatistics, statistics, epidemiology, or a related quantitative discipline, plus approximately 2–5 years of applied experience; or a doctoral degree (PhD) in a relevant field
Demonstrated ability to independently conduct multivariable and survival analyses and interpret results accurately
Strong proficiency in SAS and/or R, including management of large, complex datasets
Proficiency in SQL
Proficiency and experience with missing-data approaches such as multiple imputation
Experience drafting or substantially contributing to statistical analysis plans
Experience with real-world data sources, including EHR, administrative claims, and clinical registries
Experience with data-linkage or phenotyping methods
Working knowledge of research data governance, HIPAA/PHI handling, and Good Clinical Practice principles
Strong written and verbal communication skills
Willingness to travel up to twice per year for team meetings
Preferred: proficiency with causal-inference and confounding-adjustment methods, including propensity scores, matching, and weighting
Preferred: experience in cardiovascular clinical research, particularly cardiac imaging and/or cardiac procedural care
Preferred: served as biostatistician for 2+ prior outcomes/quality research projects
Preferred: record of contribution to peer-reviewed publications or abstracts
Preferred: proficiency in Power BI for data visualization
Preferred: familiarity with cardiovascular code sets and CMS data conventions

Benefits

Comp & perks

Fully remote work arrangement
Part-time schedule of up to 20 hours per week, on average
Opportunity to work closely with and learn from physician, quality, and research leaders
Opportunity to advance scientific discovery at a national scale
Mission-focused work dedicated to excellence in cardiovascular care and clinical research