Post-doctoral Fellow - Bioinformatics

Employer
OMRF
Location
Oklahoma City, Oklahoma
Closing date
Nov 9, 2023

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Specialty
Allergy / Immunology
Hours
Full Time
Position Type
Permanent
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The James/Guthridge labs (james.omrf.orgGuthridge.omrf.org) is a translational immunology laboratory focused on understanding the pathogenesis, prediction, prevention and precision treatment of immune-mediated diseases to improve patients’ lives. We have large, complex experimental datasets partnered with detailed clinical data to help better understand disease and improve treatments.

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
Join our dynamic, 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.

Benchmark Expectations:
  • 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.

Minimum Qualifications
Ph.D. in a biological science, statistics, applied mathematics, epidemiology, chemistry, physics or other relevant area, M.D., or equivalent field and some relevant experience. Must have the ability to perform statistical analysis using appropriate statistical software programs and/or program in R.

Must have good organizational and communication skills. Must be able to work independently, as well as highly attentive to detail, and dependable. Works as a team player and perform other duties as assigned by supervisor.

Preferred Qualifications
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.

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