Biostatistician II – Part-time

This is a fully remote position, open to applicants in United States.

📋 Description

• Conduct statistical analyses independently for assigned observational cohorts, registries, and quality studies, which includes data preparation, cohort definition, and the application of suitable analytic methods.

• Create statistical analysis plans (SAPs) for various studies and participate in protocol and study design, encompassing sample-size and power calculations.

• Utilize multivariable regression, survival analysis, longitudinal/mixed-effects models, and confounding-adjustment methods that are suitable for real-world data.

• Prepare, clean, link, and ensure the quality of real-world datasets derived from EHR, claims, and registry sources.

• Define phenotypes and endpoints using established code sets such as ICD-10-CM and CPT.

• Generate validated and reproducible analytic code in SAS and/or R, along with tables, listings, and figures for reports and publications.

• Contribute to the development of abstracts, manuscripts, posters, and grant applications, specifically in the methods and results sections.

• Clearly communicate analytic findings to investigators, clinical leaders, and internal non-technical stakeholders.

• Report directly to the Chief Research and Quality Officer.

⛳️ Requirements

• A master's degree (MS, MPH, or equivalent) in biostatistics, statistics, epidemiology, or a related quantitative field, along with approximately 2–5 years of applicable experience; or a doctoral degree (PhD) in a relevant discipline.

• Proven ability to independently perform multivariable and survival analyses and accurately interpret results.

• Strong expertise in SAS and/or R, particularly in managing large, complex datasets.

• Proficiency in SQL.

• Familiarity and experience with missing-data techniques, such as multiple imputation.

• Experience in drafting or significantly contributing to statistical analysis plans.

• Familiarity with real-world data sources, including EHR, administrative claims, and clinical registries.

• Experience with data-linkage or phenotyping techniques.

• Understanding of research data governance, HIPAA/PHI handling, and Good Clinical Practice principles.

• Excellent written and verbal communication skills.

• Willingness to travel up to twice a year for team meetings.

• Preferred: expertise in causal-inference and confounding-adjustment methods, such as propensity scores, matching, and weighting.

• Preferred: experience in cardiovascular clinical research, especially in cardiac imaging and/or cardiac procedural care.

• Preferred: served as a biostatistician for 2 or more prior outcomes/quality research projects.

• Preferred: a history of contributions 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

• 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 on a national scale.

• Mission-focused work dedicated to excellence in cardiovascular care and clinical research.