Postdoctoral Associate- Cancer Immunology & Single-Cell Analysis
- Baylor College of Medicine
- Location: Houston, TX
- Job Number: 7258797 (Ref #: 19894-en_US)
- Posting Date: Newly posted
Job Description
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 [email protected]
- 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.
- Appliesbioinformatics 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
Baylor College of Medicine fosters diversity among its students, trainees, faculty and staff as a prerequisite to accomplishing our institutional mission, and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. - Diversity, respect, and inclusiveness create an environment that is conducive to academic excellence, and strengthens our institution by increasing talent, encouraging creativity, and ensuring a broader perspective. - Diversity helps position Baylor to reduce disparities in health and healthcare access and to better address the needs of the community we serve. - Baylor is committed to recruiting and retaining outstanding students, trainees, faculty and staff from diverse backgrounds by providing a welcoming, supportive learning environment for all members of the Baylor community.
