Technology Research Analyst jobs in Oklahoma City, OK

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 café, 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 Lessard lab is seeking a Post-doctoral Fellow with experience in computational sciences to join our research team. Our research investigates 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 syndrome, systemic lupus erythematosus (SLE), and other autoimmune diseases.

We perform a wide variety of high-throughput sequencing technologies in both bulk and single cell technologies: genotyping arrays, RNA-seq, single cell (sc)RNA-seq, Perturb-seq, long sequence Nanopore sequencing, spatial transcriptomics, etc. In addition, we leverage gene-editing technologies, i.e. CRISPR/Cas9 editing, to functionally characterize non-coding regulatory regions of the genome in the context of native 3D chromatin regulatory network using 3C technologies (3C-qPCR, etc.) and promoter capture Micro-C.

Candidate must demonstrate proficiency in computer programming (UNIX-like OS, R, and python), and the application of statistical methods commonly used to analyze genetic data. Experience using data analysis pipelines and machine learning analytical approaches is a also preferred.  Candidates must also demonstrate an ability to interpret and summarize research findings, and interest in assisting manuscript preparation and grant writing, and presenting at scientific meetings.

Minimum Qualifications

Ph.D., M.D., or Ph.D. /M.D.

Strong project management, organizational, 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.