Bioinformatics in Rheumatology

The James/Guthridge lab 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.

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.

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.

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.