Proteomics Postdoc: AI-Driven Translational Research

University of Texas Health Science Center at Houston

Houston (TX)

On-site

USD 52,000 - 68,000

Full time

14 days+

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Job summary

University of Texas Health Science Center at Houston (UTHealth Houston) invites applications for a Postdoctoral Fellow position in proteomics within the Brown Foundation Institute of Molecular Medicine. The lab focuses on mass spectrometry-based proteomics to study cancer and neurodegeneration, among other diseases.

The role involves designing experiments, executing proteomic analyses, and integrating AI-driven systems biology to advance research.

Qualifications

  • PhD in a relevant scientific discipline is required.
  • Strong background in proteomics, with hands-on experience in HPLC and mass spectrometry.
  • Experience in cell culture, cell treatments, and laboratory-based assays, including protein and cell-based techniques.
  • Additional experience in metabolomics, bioinformatics, functional genomics, molecular biology, or pharmaceutical science is highly desirable.

Responsibilities

  • Design and execute biological experiments and develop innovative proteomic approaches to investigate molecular mechanisms underlying key protein networks and disease-associated processes.
  • Process and interpret complex datasets and prepare rigorous manuscripts and technical protocols.
  • Perform laboratory investigations, design and optimize experimental protocols, conduct LC–MS/MS and related molecular analyses.

Skills

Proteomics
LC–MS/MS
Mass spectrometry
Cell culture
Experimental design

Education

PhD in a relevant scientific discipline

Tools

HPLC
LC–MS

Job description

University of Texas Health Science Center at Houston (UTHealth Houston) invites applications for a Postdoctoral Fellow position in proteomics within the Brown Foundation Institute of Molecular Medicine. The lab focuses on mass spectrometry-based proteomics to study cancer and neurodegeneration, among other diseases.

The role involves designing experiments, executing proteomic analyses, and integrating AI-driven systems biology to advance research.

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