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Komen Graduate Training Program UT MDACC · 4 months ago

Postdoctoral Fellow - Anatomic Pathology

Houston, TX

Full-time

Onsite

New Grad, Entry Level

$64K/yr - $76K/yr

Komen Graduate Training Program UT MDACC is seeking a highly motivated Postdoctoral Fellow to join Dr. Donna Hansel's research group in the Department of Pathology and Laboratory Medicine. The role focuses on studying cancer invasion and metastasis in bladder cancer, employing various models and methodologies to uncover novel therapeutic strategies and contribute to scientific advancements.

Hospital & Health Care

Responsibilities

Design and execute cutting-edge experiments exploring tumor-immune interactions, leveraging advanced molecular, cellular, and in vivo methodologies

Lead collaborative projects, contributing to the design of protocols, experimental strategies, and data analyses

Prepare and publish high-quality manuscripts and present findings at internal meetings and international conferences

Provide guidance to graduate and undergraduate students, fostering a supportive and educational environment

Contribute to a positive team culture by actively participating in lab meetings, brainstorming sessions, and shared responsibilities

Qualification

Cancer biologyCellularMolecular biologyImmunologyData analysisTechnical writingCommunicationTeam collaborationMentorship

Required

A recent Ph.D. or MD/Ph.D. in cancer biology, cellular and molecular biology, immunology, or a related field

Proven track record of peer-reviewed publications or submitted manuscripts

The applicant must have excellent writing and verbal communication skills

Demonstrated technical expertise in cellular and molecular biology, immunohistology, imaging techniques, and animal experience

Excellent communication skills, with the ability to work both independently and collaboratively

Preferred

Experience in immunology, genetic analysis, single cell as well as spatial-omics data analysis, and bioinformatic analysis (such as TCGA data analysis, large data analysis using R language, etc.) is highly desired