Summary

A laboratory technician position is immediately available in the Jan and Dan Duncan Neurological Research Institute (Baylor College of Medicine). The work will be performed in Dr. Ismael Al-Ramahi's laboratory, part of the Center for Alzheimer’s and Neurodegenerative Diseases . The focus of the projects is on finding therapeutic targets for the treatment of neurodegenerative diseases, by combining genomic tools with disease models in cell-based systems, Drosophila, and mice.
No previous experience is required. The hired person will learn basic biochemical, molecular biology and genetic tools commonly used in all labs. Additionally, they will have the opportunity to perform state of the art techniques in behavioral testing, immune detection and genomic sequencing. The Jan and Dan Duncan Neurological Research Institute is a partnership of Baylor College of Medicine and Texas Children’s Hospital, two top tier institutions in research and healthcare. The NRI is equipped with the most advanced research tools for neuronal research and has top level researchers in all aspects on nervous system biology.

Job Duties

• Mouse and Drosophila genotyping using PCR.
• Perform Western blot experiments.
• Perform Fourier Resonance Energy Transfer experiments.
• Immunofluorescence and Confocal microscopy.
• Paraffin embedding and slicing for immunohistochemistry.
• Data analysis using ImageJ, photoshop, R-studio and excel.
• Record results in digital notebook and present regularly in lab meetings.
• Use of 3D printing to produce tools and prototypes.
• Peform other job related duties as assigned.

Minimum Qualifications

• Bachelor's degree in a Basic Science or related field. Four years of related experience may substitute for degree requirement.
• No experience required.

Preferred Qualifications

• This position is for recent graduates looking to gain to research experience before pursuing graduate/medical education.
• Excellent oral and written communication skills and ability to take instruction.
• Good use of image processing software as well as PPT/Keynote.
• Knowledge in statistics and using/programming in R (or similar)  will be highly valued.