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BA

Postdoctoral Associate

Baylor College of Medicine
United Statesfull_timeVerifiedPosted 5 Sept 2025

About the role

Summary

A newly funded postdoctoral position is available in the laboratory of Dr. Leo Luznik at Baylor College of Medicine. We are seeking a highly motivated and independent scientist with a strong background in cancer immunology and bioinformatics, particularly single-cell transcriptomic analysis and dimensionality reduction techniques such as tSNE.

 

Our lab is focused on understanding immune mechanisms underlying resistance and relapse in hematologic malignancies, with a goal of translating discoveries into clinical applications. We are part of a vibrant cancer immunology and immunotherapy research community and publish in top-tier journals.

 

The successful candidate will work in a diverse, collaborative environment where career development is a major priority. This position offers opportunities to lead high-impact projects, generate first-author publications, and apply for competitive extramural funding as a stepping stone to an independent research career. 

Job Duties

  • Designs, executes, and analyzes advanced research experiments.
  • Applies bioinformatics tools to analyze single-cell RNA-seq and high-dimensional flow cytometry data.
  • Conducts tSNE/UMAP clustering and trajectory inference to uncover novel immune cell states and mechanisms.
  • Develops and optimizes new experimental protocols.
  • Summarizes findings and contribute to manuscript preparation and grant applications.
  • Mentors junior lab members and contribute to lab operations. 

Minimum Qualifications

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

Preferred Qualifications

  • MD or Ph.D. in immunology, bioinformatics, computational biology, or a related field
  • Strong data analysis skills with no required postdoctoral experience
  • Hands-on experience with single-cell RNA-seq data processing and analysis pipelines (such as Seurat, Scanpy, etc.)
  • Proficiency in R or Python for statistical computing and visualization Familiarity with dimensionality reduction techniques like tSNE, UMAP, PCA Experience with multicolor flow cytometry and cellular immunology techniques
  • Interest in translational immunotherapy for leukemia and other hematologic malignancies
  • Strong communication and writing skills, and a collaborative, team-oriented mindset 

 

 

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

 

 

 

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Company

Baylor College of Medicine

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