Job DescriptionJob Title: Postdoctoral AssociateDivision: MedicineWork Arrangement: Onsite onlyLocation: Houston, TXSalary Range: Hiring up to $62,232FLSA Status: ExemptWork Schedule: Monday - Friday, 8 a.m. - 5 p.m.SummaryA 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.
