Bioinformatics Scientist/Analyst/Postdoc
- Oklahoma Medical Research Foundation
- Location: Oklahoma City, OK
- Job Number: 7187275 (Ref #: 4705475)
- Posting Date: Oct 18, 2023
- Application Deadline: Open Until Filled
Job Description
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 Lessard Lab is seeking a bioinformatics scientist/analyst to join the research team. Research includes 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 syndrome, systemic lupus erythematosus (SLE), and other autoimmune diseases.
Candidate will organize and manage 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. Candidate will be expected to analyze, interpret, and summarize the analysis results. They must have experience in computer programming with the ability to work in linux, R, Python, C++, etc., and use AI, machine learning, and statistical applications to analyze genetic data. They will apply various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, scFFPE, single cell spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc., data generated in the lab.
Qualifications
Relevant bachelors degree with 2 years relevant experience/training or a combination of relevant experience and education. 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.
To apply, visit https://careers-omrf.icims.com/jobs/1613/bioinformatics-scientist/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.
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 Lessard Lab is seeking a bioinformatics scientist/analyst to join the research team. Research includes 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 syndrome, systemic lupus erythematosus (SLE), and other autoimmune diseases.
Candidate will organize and manage 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. Candidate will be expected to analyze, interpret, and summarize the analysis results. They must have experience in computer programming with the ability to work in linux, R, Python, C++, etc., and use AI, machine learning, and statistical applications to analyze genetic data. They will apply various modern methods and bioinformatic tools to acquire and analyze genotyping bulk RNA-seq, single cell RNA-seq small nuclear RNA-seq, scFFPE, single cell spatial transcriptomics, HiC, ChIP-Seq, ATAC-seq, Perturb-seq, whole genome sequencing, long nanopore sequencing, etc., data generated in the lab.
Qualifications
Relevant bachelors degree with 2 years relevant experience/training or a combination of relevant experience and education. 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.
To apply, visit https://careers-omrf.icims.com/jobs/1613/bioinformatics-scientist/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.
