Postdoctoral Associate

About the Role

The Section of Pulmonary, Critical Care, and Sleep Medicine at Baylor College of Medicine is seeking a Postdoctoral Associate to join NIH-funded projects investigating the immunologic mechanisms underlying chronic lung allograft dysfunction. Focus areas include type I interferon signaling, regulatory T cell biology, and virus-host interactions.

Key Responsibilities

• Plans, directs, and conducts specialized and advanced research experiments.
• Designs and executes experiments using in vitro and in vivo models, including murine models of lung transplantation, precision-cut lung slices, and in vitro immune cell co-culture systems to investigate mechanisms of chronic rejection.
• Evaluates and analyzes data.
• Performs quantitative analysis of flow cytometry, bulk and single-cell RNA sequencing, and spatial transcriptomic data using R or Python.
• Interprets findings in the context of transplant immunobiology.
• Establishes new research protocols and procedures.
• Develops and optimizes protocols for regulatory T cell isolation and suppression assays, NETosis induction, and viral infection modeling in transplant settings.
• Summarizes research findings and publishes results in research journals.
• Prepares figures, writes manuscripts, and contributes to grant proposals.
• Presents findings at internal seminars and national scientific meetings.
• Works and is responsible for laboratory operations.
• Maintains compliance with IACUC and biosafety protocols.
• Manages inventory, reagent procurement, and equipment maintenance.
• Coordinates with core facilities for imaging and sequencing.
• Provides day-to-day mentorship and technical training to research assistants, graduate students, and visiting scholars.
• Oversees experimental planning and data quality.
• Performs other job-related duties as assigned.

Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Experience with Immunology.
• Experience in working with murine models.
• Strong publication record will be prioritized.