Postdoctoral Associate - Immunotherapy of hematologic malignancies

Job Duties

• Designs and executes advanced immunological research experiments focused on understanding T-cell dysfunction and immune evasion mechanisms in hematologic malignancies, using both human samples and animal models.
• Applies high-dimensional data analysis techniques, including single-cell RNA sequencing (scRNA-seq), multicolor flow cytometry, and systems biology approaches, to uncover novel immune cell states and therapeutic targets.
• Develops and optimizes experimental protocols for cellular immunology, including trajectory inference and dimensionality reduction methods such as tSNE and UMAP, tailored to translational immunotherapy applications.
• Analyzes and interprets complex datasets using bioinformatics tools (e.g., Seurat, Scanpy) and programming languages such as R or Python, contributing to mechanistic insights and clinical relevance.
• Establishes and refines research protocols that integrate molecular biology and computational pipelines to support reproducibility and scalability of immunological assays.
• Synthesizes research findings in high-impact manuscripts and contributes to grant applications, with the goal of securing extramural funding and advancing toward an independent research career.
• Manages laboratory operations that includes oversight of data integrity, compliance with institutional protocols, and coordination of collaborative projects within Baylor’s cancer immunology community.
• Uses human samples and animal models, and utilizes systems biology to explore the mechanism of T-cell dysfunction and immune evasion in leukemia.
• Mentors junior research staff and trainees.
• Fosters a collaborative and intellectually rigorous environment that supports career development and scientific excellence.

Minimum Qualifications

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

Preferred Qualifications

• Experience in techniques of cellular immunology, multicolor flow cytometry, molecular biology, bioinformatics, and advanced data analysis.
• Experience with single-cell transcriptomic analysis will be given high priority.
• Strong interests in both mechanistic and translational aspects of work.
• Ability to work independently and in a collaborative environment.
• Enthusiasm for science, effective communication skills, self-motivation, and a record of publication.
• Be a good team player is important.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.