Overview
OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy. OMRF's excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.

Benefits
We offer competitive salaries and comprehensive benefits including, medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, paid holidays, onsite cafe, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro and out of state. Learn more about our benefits here.


Responsibilities
The James/Guthridge labs (james.omrf.org; Guthridge.omrf.org) is a translational immunology laboratory focused on understanding the pathogenesis, prediction, prevention and precision treatment of immune-mediated diseases to improve patients’ lives. We have large, complex experimental datasets partnered with detailed clinical data to help better understand disease and improve treatments. We are looking for a Biostatistician or experienced Data Analyst to join our team to help analyze current and emerging data. This person will perform biostatistic analyses of clinical trial and associated experimental data. Develops data analysis plans, including power calculations. Performs a wide variety of analyses, including but not limited to parametric and non-parametric statistics. Evaluates the statistical methods and procedures used to obtain data and to ensure validity, applicability, efficiency, accuracy, reliability and usability of data. Reports results of statistical analyses, including information in the form of graphs, charts, and tables. Conveys results for presentations to non-statistical audiences. Analyzes and interprets statistical data and prepares conclusions. Identifies relationships and trends in data, as well as any factors that could affect the results of research. Assists scientists in designing experiments to facilitate correct analysis of data. Plans data collection methods for specific projects and determines the types and sizes of sample groups to be used. Queries databases and manages datasets.


Qualifications
Master's degree in Biostatistics, Statistics, Bioinformatics, Applied Mathematics, or equivalent field and two (2) years of relevant consulting in biostatistics experience or other relevant experience OR PhD degree in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, Epidemiology, or equivalent field and some relevant experience. Must have the ability to perform statistical analysis using appropriate statistical software programs and/or program in R. Must have good organizational and communication skills. Must be able to work independently, as well as highly attentive to detail, and dependable. Works as a team player and perform other duties as assigned by supervisor. 


To apply, visit https://careers-omrf.icims.com/jobs/1435/biostatistician---data-analyst/job?in_iframe=1

OMRF’s excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.