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Bioinformatics Scientist - Lessard Lab

Job

Oklahoma Medical Research Foundation

Oklahoma City, OK (In Person)

Full-Time

Posted 01/30/2026 (Updated 5 weeks ago) • Actively hiring

Expires 5/27/2026

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Job Description

Oklahoma Medical Research Foundation Oklahoma City, OK ID:
7323102 (Ref.

No. ej-6869006)
Posted:
1 month ago .augusta-university h2{font-size:21px;} Job Description Bioinformatics Scientist -
Lessard LabDepartment:
Genes & Human DiseaseLocation:
Oklahoma City, OKPosition Overview and ResponsibilitiesThe Lessard Lab is seeking a bioinformatics scientist to join our research team. Our research leveraged high-throughput bulk and single cell sequencing technologies to investigate the regulatory functions that control gene expression within the complex landscape of the three-dimensional genome and how genetic variations influence these regulatory functions to cause human diseases such as Sjögren's disease, systemic lupus erythematosus (SLE), and other autoimmune diseases.
Position Responsibilities:
Organizing and managing the multi-OMIC data generated by genotyping arrays, protein arrays, and a variety of high-throughput sequencing technologies at both bulk and single cell levels. Analyzing, interpreting, and summarizing the analysis results. Applying various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, scFFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc., data generated in the lab.

Minimum Qualifications Ph.D., M.D., or Ph.D. /M.D. Strong project management and organizational skills and communication (verbal and written) skills are required. Individuals must be detail-oriented and capable of working both independently and as productive member of our team.

Preferred Qualifications Ph.D./M.D. in bioinformatics is preferred. Experience in computer programming with the ability to work in linux, R, Python, C++, etc., and ability to use AI, machine learning, and statistical applications to analyze genetic data. Experience applying various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, scFFPE, spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc.

OMRF OverviewFounded 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 BenefitsWe 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 omrf.hrmdirect/employment/job-opening.php?req=3578383&req_loc=1134247 #jobjeid-cd052e58e6d41e48a94257e33cd33655 Please mention to the employer that you saw this ad on UniversityJobs

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