Title:  Senior Biostatistician

Division:  Institute for Clinical and Translational
Schedule:  Monday - Friday, 8 am - 5 pm
Work Location:  Texas Medical Center, Houston, TX
Salary Range:  $70,100 - $96,737
FLSA Status:  Exempt
Requisition ID:  8904


Serve as a senior biostatistician / data scientist in the BCM Department of Medicine Institute for Clinical and Translational Research (ICTR). Provide biostatistical support including data analysis, maintaining datasets, producing documented analysis programs. Work directly with faculty to define research questions, develop statistical analysis plans, and prepare text, tables and graphics describing results. Interpret results and define strengths and limitations for manuscripts and presentations. Work with faculty investigators and other statisticians in a group setting to prepare the statistical design for grant proposals including defining specific study objectives, developing the statistical plan for the study (including power analyses), and analyzing and reporting on preliminary data.

Job Duties

The senior biostatistician will predominantly work with faculty members on observational electronic health record (EHR) and claims datasets related to cancer outcomes research. The expected breakdown of a weekly duty is as follows:

60% - Performing data analysis and output for manuscripts, presentations, reports, meetings/conferences.
30% - Maintaining and updating data dictionary for institutional and national datasets.
10% - Working with faculty biostatisticians, epidemiologists, and study investigators to prepare the statistical design for grant proposals.

Minimum Qualifications

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

Preferred Qualifications

Master's degree in statistics, biostatistics, epidemiology, health services research, data science or related quantitative field with three to five years previous experience analyzing data from observational epidemiology studies (e.g., case-control and prospective cohort studies).  Ability to understand clinical data to answer relevant questions. Understand pitfalls in observational studies and appropriate methodologies. Familiarity with database management, with high proficiency in programming languages such as STATA and R required.


Previous experience analyzing data from electronic health record (EHR) and administrative claims databases is required. The position is expected to be able to extract, manipulate, and clean, and subset large clinical datasets from multiple different settings. Previous experience with clinical epidemiology study designs, generalized linear regression, logistic regression, survival analysis, bootstrap, matching/weighting methods, and imputation.


Desirable Qualifications:
Previous experience with cancer epidemiology and outcomes research, longitudinal modeling and mixed models, causal inference methods, health services research methods, and/or machine-learning methods are desired but not required. 





Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.