Research Assistant Professor - Computational Biology or Systems Immunology
About The Position
The James/Guthridge Lab is hiring a Research Assistant Professor (transitional faculty member) to assist with the analysis of large, complex, multi-modal datasets from clinical trials and clinical research protocols. This role requires expertise in computational biology, systems immunology, bioinformatics, biostatistics, machine learning, or related quantitative disciplines. The position is within OMRF Arthritis & Clinical Immunology, a leading multidisciplinary autoimmune disease research program. The successful candidate will join a collaborative team focused on understanding autoimmune disease mechanisms and developing predictive, preventive, and therapeutic strategies. They will work with deeply phenotyped, multi-modal datasets from patients with autoimmune diseases and those at risk, including molecular, cellular, genetic, genomic, transcriptomic, proteomic, metabolomic, clinical, imaging, and longitudinal biospecimen data. This role offers opportunities for integrative analyses, biomarker discovery, mechanistic investigation, disease prediction, and precision medicine. It is a transitional position for scientists with a graduate degree and exemplary postdoctoral experience, expected to develop high-caliber projects and attract extramural funding. Candidates should demonstrate considerable experience, distinctive competence, and the ability to work both independently and collaboratively.
Requirements
- Ph.D. in a biological science, chemistry, physics or other relevant area such as statistics, biostatistics, applied mathematics, epidemiology, and/or M.D., or equivalent.
- Typically two or more years of exemplary postdoctoral experience.
- Must be a team-player with good organizational and communication skills.
- Must be able to work independently.
- Highly attentive to detail, and dependable.
Nice To Haves
- Ability to perform data analysis and visualization using appropriate analytic software programs or through programming in R, Python or other languages.
- Human Immune response in health and disease experience or clinical trials experience strongly preferred.
- At least 5 publications, including publications in high-impact journals.
- Experience writing parts of successful grant applications.
Responsibilities
- Assist with analysis of large, complex, multi-modal datasets from clinical trials and clinical research protocols.
- Leverage large, deeply phenotyped, multi-modal datasets generated from patients with autoimmune diseases and individuals at risk for developing autoimmunity.
- Perform integrative analyses, biomarker discovery, mechanistic investigation, disease prediction, and precision medicine.
- Contribute to the preparation and development of federal and foundation grant applications.
- Perform data analysis and visualization using appropriate analytic software programs or through programming in R, Python or other languages.
- Work independently and as a critical member of a large multi-disciplinary productive team.
Benefits
- Competitive salaries
- Comprehensive benefits to full-time employees
- Medical insurance
- Dental insurance
- Vision insurance
- Minimum 8% company retirement contribution
- Vacation leave
- Sick leave
- Paid holidays
- Onsite cafe
- Free onsite fitness center with access to personal trainer
- Free parking
- Relocation assistance available for those located 50 miles outside of Oklahoma City metro.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
