Summary

The Section of Oncology Epidemiology within the Department of Pediatrics and Texas Children's Cancer Center is seeking a highly motivated Senior Biostatistician to serve as a key contributor to the newly-formed Cardio-Oncology Epidemiology Program. The position will independently develop and implement statistical methodologies, contribute to study design, perform advanced analyses of complex clinical datasets, and support dissemination of findings through peer-reviewed publications and scientific presentations. The ideal candidate will have excellent analytic and problem-solving skills, demonstrate scientific rigor and a capacity to translate complex statistical concepts for multidisciplinary audiences, and the ability to manage multiple priorities in a dynamic and growing research environment.

Job Duties

• Data Analysis and Reporting
  • Performs statistical analysis and interpretation of data for projects and research grants.
  • Performs advanced statistical analyses using longitudinal, survival, recurrent event, multilevel data methodologies. 
  • Develops reproducible analytic workflows utilizing R, SAS, SQL, and other statistical software platforms.
  • Manages analytic timelines and deliverables across multiple projects within the Center for Epidemiology and Population Science.
  • Maintains comprehensive analytic documentation, including data dictionaries, codebooks, annotated programming scripts, and version-controlled research files to support transparency and reproducibility.
  • Produces publication-quality tables, figures, and technical summaries for publication in conference proceedings, peer-reviewed manuscripts, preprint servers, and other scientific forums.
  • Effectively interacts and presents results to investigators and team members.
• Statistical Experimental Design
  • Develops statistical programs for data manipulation and implementation of standard and advanced statistical methodology.
  • Develops statistical analysis plans for clinical trial and observational research studies employing contemporary causal inference methodologies (e.g., mediation analyses, trial emulation).
  • Develops and implements analytic approaches to evaluate data quality, missing data mechanisms, confounding, selection bias, and measurement error, and estimate the impact on observed results.
  • Performs simulation studies and methodological evaluations for observational and clinical research.
  • Contributes to development and refinement of novel analytic approaches for cardiovascular outcomes and population health research.
  • Provides statistical review and contribution to manuscripts, abstracts, protocols, and grant applications prior to submission.
• Program Leadership/Citizenship
  • Assists in training lower-level data management team members.
  • Participates in scientific working groups and investigator meetings.
  • Assists investigators in evaluating feasibility of proposed projects.
  • Assists in developing Program/Section standard operating procedures (SOPs) as needed.
  • Establishes analytic standards, quality control procedures, and reproducibility practices.
  • Complies with all applicable institutional, state, and federal data security requirements.
  • Performs other job duties as assigned.

Minimum Qualifications

• Master's Degree in Statistics, Biostatistics or a  related field.
• Three years of relevant experience.

Preferred Qualifications

• PhD in Biostatistics, Statistics, Epidemiology, or related field.
• Experience working with EHR, claims, registry, or large observational datasets.
• Experience with cardiovascular outcomes research, oncology, survivorship, pharmacoepidemiology, or health services research.