Assistant Professor (N-T Track Research) - Biostatistics & Data Science

JOB DESCRIPTION: 
Design and execute complex statistical analysis, including formulation of statistical hypothesis, sample size projection, choice of methodology, computing, and preparation of manuscripts.  Teach biostatistics courses in support of school graduate programs.

ESSENTIAL JOB FUNCTIONS:

• Provides statistical support services to UTMB faculty, staff and students.
• Develops new statistical inference methods.
• Plans, directs and reports statistical analysis of research data.
• Develops and adapts innovative methodologies which can be used in biomedical studies.
• Designs and implements statistical analysis of biomedical databases.
• Outlines and describes experimental designs, including sample size projections.
• Collaborates with investigators in grant development including statistical design of studies and preparation of statistical portion of grant proposal.
• Collaborates with investigators in methodology grant development. 
• Writes statistical portions of manuscript based on results of analysis and addresses manuscript revisions based on reviewer's comments.Collaborates with biostatistics faculty to publish methodology manuscripts. 
• Teaches both short courses and regular graduate level courses at a level consistent with the UTMB faculty and staff requirements.
• Provides sound statistical practice.
• Excellent communication and interpersonal skills with a high degree of professionalism and competence in dealing with a variety of individuals.
• Ability to communicate information to non-statisticians.
• Adheres to internal controls established for department.

MINIMUM QUALIFICATIONS:
Doctoral degree (PhD or DrPH) in Biostatistics or Statistics and at least 3 years of related experience.  

PREFERRED QUALIFICATIONS:

• Six years of related experience in Statistics or Biostatistics in the healthcare field.  Experience in design and analyze of clinical trials. Classroom teaching experience.   
• Personal computer.
• Proficiency in computing, including knowledge of statistical packages such as SAS, SPSS, R, or SQL.
• Familiarity with database management.
• Problem-solving.
• Excellent communication skills
• Good organization skills
• Knowledge of statistical and scientific research design.
• Knowledge of data files handling techniques.

SALARY:
Commensurate with experience.