Stanford University - Stanford, CA
posted 2 months ago
The Sergiu Pasca Lab and Kevin Kelley Lab, within the Department of Psychiatry & Behavioral Sciences at Stanford University, are seeking a motivated computational bioinformatic scientist to join a highly collaborative environment focused on human neuroscience and neurodevelopmental disease modeling. This position offers a unique opportunity to work at the forefront of research that couples advanced human brain cellular models with innovative computational genomics. The successful candidate will be embedded within an interdisciplinary team and will be responsible for developing novel computational and statistical approaches for analyzing and interpreting large multi-modal sequencing and imaging datasets derived from human neural tissue. In this role, the candidate will develop rigorous and reproducible analytic pipelines for processing and interpreting large datasets generated from single-cell RNA-seq, ATAC-seq, spatial transcriptomics, and electrophysiology data. The environment is designed to foster significant contributions to the understanding of neuropsychiatric disorders, providing the successful applicant with opportunities to grow into a leadership role within academia or industry. The position is hybrid eligible, allowing for a combination of on-site and remote work, and is full-time with regular employee status. The candidate will also be expected to stay up to date with computational bioinformatics best practices and data analysis methods through recent publications, seminars, conferences, and training courses. This role is integral to the lab's mission and will involve close collaboration with experimentalist colleagues, including postdocs, graduate students, and staff, to design and interpret high-dimensional dataset collection and analysis.