Post-doctoral Fellow / Bioinformatics Specialist / Data Scientist
Posting Number: 000156
Position Type: Scientific
Department: Arthritis & Clinical Immunology – Guthridge
Job Summary/Basic Function:
The Oklahoma Medical Research Foundation (OMRF) is an independent, not-for-profit, biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC) located in Oklahoma City. OMRF investigators have internationally recognized expertise in Autoimmunity, Immunology, Genetics, Aging, Cardiovascular Disease, and Cancer. Our Autoimmune Disease Institute houses Centers of Excellence and specialty research clinics for Rheumatic Diseases (focusing on Lupus, Rheumatoid Arthritis, UCTD, and Sjogren's) and for Multiple Sclerosis and related diseases. In addition to following over 4,000 patients with these conditions, teams of basic and clinical investigators conduct extensive clinical, translational and mechanistic research using samples obtained from these large clinical programs. Investigators at OMRF enjoy close scientific interactions with OUHSC faculty and participate in OUHSC graduate programs. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org or Guthridge.omrf.org, james.omrf.org or ACI-Cores.omrf.org
Join our dynamic team in a well-funded research group in an autoimmune disease center of excellence. We are focused on studying immune mechanisms associated with autoimmunity and translational research questions. Dr. Joel Guthridge and Dr. Judith James are seeking a Post-Doctoral Fellow with a strong immunology and/or bioinformatics/data science background to be part of the team working to apply precision medicine and molecular phenotype classification approaches to clinical and translational autoimmune disease research to improve the lives to patients with autoimmune disease. Large datasets for analysis are already available and growing daily.
The successful candidate will help lead efforts to apply computational and new statistical tools to molecular phenotype pipelines for patient characterization and stratification, assist with data analysis, modeling, visualization and interpretation of clinical and experimental data. We have access to an extensive curated electronic clinical research health record and experimental data warehouse already available to be leveraged for these projects. The team utilizes high throughput bimolecular assays, deep cellular phenotyping, and single cell genomic and proteomic methods through our Human Phenotyping Core. We also have access to high performance computational resources both in-house and through cloud-based resources.
This is a mentored position for postdoctoral training. Incumbents at this level plan, design and conduct analysis plans for research projects; prepare reports and papers for publication, presentation and future research; contribute to grant writing and are encouraged to write applications for fellowships. Successful candidates will learn the complexities of data analytics/research lab management and participate in various lab management responsibilities.
– Conduct scientific research/data analysis
– Manage research projects
– Contribute to grant writing; prepare reports and papers for publication
– Present scientific/technical information both formally and informally
– Work collaboratively and collegially as part of the team while learning to become an independent investigator.
Knowledge, Skills, and Abilities:
Knowledge of the principles and practices of scientific theory and research; demonstrates skill in formulating and testing hypotheses; demonstrates ability to conduct scientific research analysis and summarize data and results; writes technical, scientific papers; writes grants and communicates effectively both orally and in writing; mentor students; provides analytic support and input to other projects in the group and guides/directs the work of less senior
Ph.D. in a biological science, chemistry, physics or other relevant area, M.D., or equivalent.
Minimum Degree Required:
Doctorate in Immunology, Clinical Science, Bioinformatics, Biostatistics, or related quantitative field.
Demonstrated basic computer (UNIX, R or similar statistical package), statistical experience in multivariate and machine learning analysis. Strong oral and written communication skills. Must be efficient with time and project management, with a strong organizational ability with exquisite attention to detail. Must have the ability to multi-task and work both independently and as a member of an interdisciplinary team with complementary skill sets.
Evidence of applied analysis experience of immune and genetic data is strongly desired. Programming skills, data visualization and ability to develop meaningful interfaces for end-users to access high-dimensional data in a meaningful way are also desired. Exposure to biomedical, genetic and/or clinical research preferred. Experience with univariate and multivariate analyses, machine learning, clustering, pathway, genetic and genomic data analyses and bioinformatics is helpful. Experience or training in database design, development, implementation and data structures are also helpful.
Regularly required to stand, use manual dexterity, talk or hear; Frequently required to walk and reach with hands and arms; occasionally sit; frequently lift and/or move up to 50 pounds; vision abilities include close vision, color vision, depth perception and ability to adjust focus. Potential exposure to fumes, airborne particles, or rodent dander. May work with toxic, caustic chemicals, radioactive materials, liquid nitrogen, human tissue or blood. Potential risk of electrical shock. Occasional exposure to cold 4C, and/or extreme cold -80C from freezers. Noise level is usually moderate.
To apply, visit https://omrf.peopleadmin.com/postings/3388