Postdoc/Assistant Staff Scientist - Nath Lab
Department: Arthritis & Clinical Immuno
Location: Oklahoma City, OK
Position Overview and Responsibilities
The Nath Lab is seeking a highly motivated and self-driven individual to join our team as a Postdoctoral Scientist or Assistant Staff Scientist. Our research focuses on unraveling the genetic mechanisms underlying lupus, a complex autoimmune disease. This position requires expertise in analyzing large-scale genetic and genomic data. The successful candidate will have access to excellent resources to address critical questions in the genetics and genomics of systemic lupus erythematosus (SLE).
Building on our lab's success in identifying genes and genetic variants associated with lupus susceptibility through genome-wide association studies (GWAS), we are now investigating the functional effects of these variants. This includes utilizing patient-derived primary immune cells and tissues as well as cell line models.
Key Responsibilities

Analyze human genetic and genomic data, including GWAS and next-generation sequencing (NGS).

Develop and apply computational methods to interpret various types of biological data.

Integrate GWAS summary results with other data types (e.g., eQTL, mQTL, and functional genomic annotations) to identify novel therapeutic targets and biomarkers.

Contribute to the understanding of the functional consequences of lupus-associated genetic variants.
Desired Skills and Experience

Proficiency in statistical genetics, bioinformatics, and computational biology.

Expertise in analyzing large-scale GWAS datasets, including integration with functional genomic data.

Strong background in using genetics/statistics/bioinformatics software for data analysis and interpretation.
Minimum Qualifications
Applicants should have a Ph.D., M.D., or M.D./Ph.D. (or expect to receive a doctoral degree soon).
Collaboration with experimental and clinical scientists to address specific target mechanism questions with genomic insights is essential. This position demands a highly motivated, self-driven individual with excellent teamwork and organizational skills. Creativity, biological insight, and problem-solving skills in computational research.
Preferred Qualifications

Thorough knowledge of GWAS data analysis methodologies.

Experience in investigating human genetic variation and its functional implications.
OMRF 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 collective commitment to our mission, ". . . so that more may live longer, healthier lives." Successful candidates will demonstrate commitment to this mission.
OMRF Benefits
We offer competitive salaries and comprehensive benefits to full-time employees including medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, and paid holidays. All employees have access to our 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. Learn more about our benefits here.
OMRF is an Equal Opportunity Employer.
To apply, visit https://omrf.hrmdirect.com/employment/job-opening.php?req=3310458&req_loc=615073&&#job

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