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Pediatrics - Neurology NRI (Instructor)

Baylor College of Medicine Prod · Houston, TX, US

External listingfull-timeRecently

About The Role

Summary We are seeking a highly motivated and innovative Gene Editing Scientist to join a multidisciplinary team focused on developing cutting-edge human models of disease and advancing translational applications in neurodevelopmental and neurodegenerative disorders. The successful candidate will lead and execute genome engineering strategies across a range of platforms, including human induced pluripotent stem cells (iPSCs), 2D human brain models, and organoids. This position offers a unique opportunity to contribute to transformative discoveries at the intersection of gene editing and human disease modeling. Job Duties Design, develop, and optimize genome editing strategies using CRISPR/Cas systems (e.g., CRISPR-Cas9, base editing, prime editing) Generate and validate genetically modified cell lines, including iPSCs and differentiated neural cell types Perform clonal selection, screening, and molecular validation (PCR, sequencing, off-target analysis) Collaborate with cross-functional teams (genetics, bioinformatics, cell biology, electrophysiology) to integrate multi-omics and functional data Maintain detailed experimental records and contribute to publications, grant applications, and presentations Stay current with emerging genome editing technologies and implement innovative approaches Ensure compliance with institutional biosafety and regulatory guidelines Minimum Qualifications Ph.D. in Molecular Biology, Genetics, Neuroscience, Bioengineering, or related field 3+ years of hands-on experience in genome editing, particularly CRISPR-based approaches Demonstrated expertise in mammalian cell culture, including stem cells (iPSCs preferred) Experience with cloning, vector design, and delivery systems (viral and non-viral) Strong background in molecular biology techniques (PCR, qPCR, NGS, Western blotting) Experience with clonal isolation and validation of edited lines Ability to design experiments independently and troubleshoot complex protocols Strong organizational, analytical, and communication skills Preferred Qualifications Experience with advanced genome editing technologies (base editing, prime editing, epigenome editing) Familiarity with iPSC-derived models including organoid systems or 3D cell culture models Experience working with neurological or developmental disease models Knowledge of off-target analysis and genome-wide screening approaches Experience with automation/robotics platforms for cell engineering workflows Bioinformatics skills related to sequence analysis Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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