University of Alabama Birmingham (UAB) Job

Carl

We are looking to hire a masters-level statistician into our group here at UAB, to work principally on the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Do you know of any recent MPH grads or soon-to-be MPH grads who are strong statisticians and looking for good work?

Evan Thacker

Email: elt@uab.edu  

GENERAL SUMMARY

We are seeking a Master’s level statistician to work with a large cohort study.  The ideal candidate will be fluent in SAS with the aptitude to learn additional languages (stata, R, SQL) as necessary.  The job will provide opportunities for both data management and analysis using a variety of modeling techniques (proportional hazards, logistic regression, etc).

KEY RESPONSIBILITIES

1.     Conducts various statistical analyses using computer software packages.  May assist students, faculty and staff in appropriate methodologies for study.  Researches materials in support of analyses performed.

2.     Designs and maintains computer databases.  Enters and analyzes data and verifies accuracy of data entered by others.

3.     Identifies trends and compares with established expectations.  Generates reports, creates statistical charts from databases and reviews with other departmental staff.

4.     Performs programming to update system, services and reports on existing production databases.

5.     Assists with development of grant applications, presentation of results, and scientific papers for publication.

6.     Maintains knowledge of current changes and developments in the field by reading appropriate publications, communicating with subject matter experts and attending related conferences.

MINIMUM QUALIFICATIONS

BS degree in Math or related field and 3 years experience in the application of complex statistical techniques required.  A MS degree in statistics, mathematics, or a closely related field could substitute the BS and 3 years experience.  Must be able to demonstrate a working knowledge of statistical techniques including the use of SAS/SPSS and related computer database languages.