ASA Connect

The Division of Biostatistics and Epidemiology in the Department of Molecular and Translational Medicine of the
Paul L. Foster School of Medicine, Texas Tech University Health Sciences Center El Paso, seeks highly qualified
applicants for the following full-time tenure-track faculty position:

Assistant Professor or higher: This position requires a Ph.D. in Biostatistics, Statistical Genetics, Genetic
Epidemiology, or a related field. A minimum of 4 years post-doctoral or equivalent experience in one of the areas
of Biostatistics, Statistical Genetics, Genetic Epidemiology, or a related field as well as a strong record of peer-reviewed
publications and experience with scientific collaborations are required. The preferred candidate will
have a demonstrated track record of methodological/analytical research, focused on the development of
analysis of omics data, big data, and/or population genetics in the biomedical sciences. Additional preferred
qualifications include teaching experience in basic and advanced bioinformatics, statistical genetics, and/or
biostatistics; strong interest and aptitude in working with biomedical investigators in fundamental, translational,
population health, and clinical research projects; and experience in common statistical/bioinformatics software
such SAS, STATA, R, Python, and Perl. A minimum of six-year experience as an assistant professor is preferred
for the rank of associate professor, and a minimum of 10-years combined experience as an assistant and
associate professor is preferred for the rank of professor. An emerging or established regional or national reputation
is expected for the rank of associate professor or higher. The major essential functions of the position are to
conduct high-quality independent methodological/analytical research in bioinformatics/biostatistics/data
science/statistical genetics and teach graduate-level courses in bioinformatics/biostatistics/data science. The
successful candidate will collaborate with faculty investigators in their research design and analysis; mentor
graduate students and medical students; and train and supervise statistical programmers in providing biostatistical,
epidemiology, and bioinformatics support services to investigators.

The city of El Paso is nestled between the beautiful Franklin Mountains and the Rio Grande River and has over
300 days of sunshine a year. It is ranked as one of the safest cities in America with a population of more than
600,000. El Paso also is one of the most affordable cities in Texas and has been voted as one of the best cities
in the United States in which to raise a family.

Interested candidates should apply online at http://careers.texastech.edu, and reference requisition number
22513BR. For further information, potential applicants may inquire confidentially to Alok Dwivedi, Ph.D.,
Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, at
alok.dwivedi@ttuhsc.edu or 915-215-4177.

The position will remain open until filled. Application review will begin immediately. As an EEO/AA employer, the
Texas Tech University System and its components will not discriminate in our employment practices based on
an applicant's race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age,
disability, genetic information, or status as a protected veteran.

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Alok Dwivedi
Associate Professor
Texas Tech University Health Sciences Center El Paso
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