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Post-doctoral Fellow / Staff Scientist

Job Description


Post-doctoral Fellow / Staff Scientist

Overview
Founded in 1946, the Oklahoma Medical Research Foundation (OMRF) is among the nation’s oldest, most respected independent, nonprofit biomedical research institutes. OMRF is dedicated to understanding and developing more effective treatments for human diseases, focusing on critical research areas such as Alzheimer’s disease, cancer, lupus, Multiple Sclerosis, and cardiovascular disease. OMRF follows an innovative cross-disciplinary approach to medical research and ranks among the nation’s leaders in patents per scientist.

Located in Oklahoma City, a city that offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy, OMRF has been voted one of the Top Workplaces since the inception of the award. This achievement has been accomplished thanks to OMRF individuals who share a unified understanding that our excellence can only be fully realized with a commitment to diversity, equity, and inclusion. Successful candidates will demonstrate commitment to these values.

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 .

OMRF is an Equal Opportunity/Affirmative Action/Veterans 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.

Responsibilities
The Bieniasz Lab is looking for a self-motivated, creative biologist to join the Bieniasz Lab to study changes in aging ovaries that predispose to ovarian cancer development. The Bieniasz Lab is located in the Aging & Metabolism research group at OMRF, which provides a strong environment for training in the Biology of Aging, Metabolism, and Cancer. The successful candidate will perform various in vitro assays to study ovarian cancer phenotype, and in vivo studies using genetically engineered mouse models (GEMMs), and patient-derived xenograft (PDXs) models to study ovarian cancer development, progression, spreading and response to novel therapies. She/he will be expected to present their data in lab meeting and present their work in seminars and poster presentations as appropriate. The candidate will be expected to perform data analysis, prepare manuscripts, contribute to grant writing, and communicate effectively both orally and in writing. The candidate will be expected to troubleshoot scientific problems and modify experimental protocols when needed. She/he will also participate in various lab management responsibilities. The candidate will be expected to work independently with a high degree of skill under the guidance of the lab supervisor.

Qualifications
Ph.D. in a biological science, or other relevant areas. Must have excellent oral and written communication skills. Ability to write technical and scientific papers. Must be organized, follow detailed experimental protocols, keep meticulous records, and meet all deadlines. Basic computer skills including Microsoft Word, Excel and PowerPoint are required. Expertise in in vitro cell culture and basic molecular biology techniques is required.

To apply, visit https://careers-omrf.icims.com/jobs/1526/post-doctoral-fellow/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.

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