Lead Biostatistician (Interventional Cardiology and Vascular Research)

About the role

The Smith Center (Richard A. and Susan F. Smith Center for Outcomes Research (bidmc.org)) is devoted to addressing the most pressing issues in cardiovascular care through innovative and rigorous analysis of diverse data sources, including large national registries, administrative claims data, survey-based data, and EHR data.

Responsibilities

• Develops statistical solutions to optimally support all phases of research projects including clinical trials.
• Functions as a study Lead Statistician and is accountable for study level deliverables.
• Performs trial statistician responsibilities as needed, including attendance of study team meetings, review of protocols/amendments, conducting exploratory data analyses, and performing just-in-time analyses.
• Applies innovative statistical approaches to study design, analysis and data exploration methodologies.
• Serves as a general clinical development and statistical resource.
• May supervise, orient and/or train staff – may have one direct report.
• Retrieves, queries, manipulates and manages large claims databases.
• Provides statistical education to clinical investigators including faculties, fellows, residents and medical students.
• May need to provide statistical consulting services to investigators from Harvard Medical School and affiliated hospitals, if needed.

Requirements

• Master's degree in Biostatistics required; Doctoral degree in Biostatistics preferred.
• 5-8 years related work experience required in Academic research.
• Prior experience with laboratory techniques, computer analysis, creation and design of wet lab protocols and implementation of these experiments.
• Knowledge of epidemiology, outcomes research, evidence-based medicine, and experience using longitudinal datasets, data repositories and statistical Analysis with SAS, STATA, SPSS or alternative statistical software.
• Advanced technical computer skills as required for technical support specific to functional area and related systems.
• Advanced skills with Microsoft applications which may include Outlook, Word, Excel, PowerPoint or Access and other web-based applications. May produce complex documents, perform analysis and maintain databases.

Qualifications

• Experience with core biostatistical methods (e.g., regression, propensity score approaches, survival analyses).
• Prior experience with administrative (Medicare) claims data is preferred.

Skills

• Experience with SAS Base and Advanced certification.
• Hands-on experience working with SAS (Base, Stat, Macro, SQL).
• Expertise in at least one of the following areas: causal inference, longitudinal analysis, or weighting methods.

Benefits

Not specified.

Pay

$95,000.00 USD – $145,000.00 USD

Schedule

Day