Asst. Professor — Computational Biology & Immunology

Oklahoma Medical Research Foundation; Oklahoma City (OK); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Minimum 8% retirement contribution

Vacation and sick leave

Paid holidays

Onsite café

Free parking

Relocation assistance available

Job summary

The Oklahoma Medical Research Foundation invites applications for a Research Assistant Professor in Computational Biology or Systems Immunology. The successful candidate will analyze large, multi-modal datasets from clinical trials and research protocols and join a leading autoimmune disease program.

Ideal candidates have a Ph.D. or MD in a relevant field, strong postdoctoral experience, and a track record in grants, collaboration, and independent work within a multidisciplinary team.

Qualifications

• Ph.D. in a biological science, chemistry, physics or related area such as statistics, biostatistics, applied mathematics, epidemiology, and/or M.D., or equivalent and typically two or more years of exemplary postdoctoral experience.

Responsibilities

• Assist with analysis of large, multi-modal datasets from clinical trials and clinical research protocols.
• Collaborate with a multidisciplinary team of physician-scientists, immunologists, computational biologists, geneticists, epidemiologists and data scientists.
• Leverage high-dimensional datasets to enable integrative analyses, biomarker discovery, mechanistic investigation, disease prediction, and precision medicine.

Skills

PhD experience

Postdoctoral experience

Grant writing

Team player

Independent researcher

Communication skills

Education

PhD or MD in a relevant field

Tools

Python

R

Job description

The Oklahoma Medical Research Foundation invites applications for a Research Assistant Professor in Computational Biology or Systems Immunology. The successful candidate will analyze large, multi-modal datasets from clinical trials and research protocols and join a leading autoimmune disease program.

Ideal candidates have a Ph.D. or MD in a relevant field, strong postdoctoral experience, and a track record in grants, collaboration, and independent work within a multidisciplinary team.