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Postdoctoral Associate- Cancer Immunology & Single-Cell Analysis

Baylor College of Medicine

Houston (TX)

On-site

USD 64,000 - 76,000

Full time

18 days ago

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Job summary

Baylor College of Medicine is seeking a Postdoctoral Associate for a role focused on cancer immunology and single-cell analysis. The position offers a unique opportunity to engage in high-impact research projects, aiding in the understanding of immune mechanisms in hematologic malignancies and contributing to significant publications and grant applications.

Qualifications

  • Experienced with single-cell RNA-seq data processing and analysis pipelines.
  • Hands-on experience with dimensionality reduction techniques like tSNE, UMAP, PCA.
  • Interest in translational immunotherapy for hematologic malignancies.

Responsibilities

  • Designs, executes, and analyzes advanced research experiments.
  • Applies bioinformatics tools to analyze single-cell RNA-seq data.
  • Mentors junior lab members and contributes to lab operations.

Skills

Cancer immunology
Bioinformatics
Data analysis
Statistical computing
Team collaboration
Writing skills

Education

MD or Ph.D. in Basic Science, Health Science, or a related field
MD or Ph.D. in immunology, bioinformatics, computational biology, or related field

Tools

R
Python
Seurat
Scanpy

Job description

Postdoctoral Associate- Cancer Immunology & Single-Cell Analysis

Join to apply for the Postdoctoral Associate- Cancer Immunology & Single-Cell Analysis role at Baylor College of Medicine

Postdoctoral Associate- Cancer Immunology & Single-Cell Analysis

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Join to apply for the Postdoctoral Associate- Cancer Immunology & Single-Cell Analysis role at Baylor College of Medicine

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.

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.

Please send the following to Dr. Leo Luznik at Leonido.Luznik@bcm.edu

  • Current CV
  • Contact information for three references
  • A brief statement describing past research experience and future career goals

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.

PD; SN

Seniority level
  • Seniority level
    Internship
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research
  • Industries
    Higher Education

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