Associate or Full Specialist - Diaz lab

Associate or Full Specialist – Diaz labSpecialist Series (Associate or Full Specialist), full-time, one-year appointment, Department of Neurological Surgery/Diaz Lab. The incumbent will support computational and translational brain-tumor research by developing, documenting, and applying reproducible bioinformatics workflows for bulk and single-cell/single-nucleus genomic data. Duties include quality control and analysis of WES/WGS, scRNA/snRNA-seq, lineage-tracing, copy-number, mutation, ecDNA/tumor-evolution, and clinical/longitudinal datasets; integration of data with specimen and clinical annotations; preparation of figures, tables, methods, and reports; coordination with sequencing cores and UCSF/collaborating investigators; maintenance of code, metadata, and secure data-management practices consistent with lab and University policies; contribution to manuscripts, grant progress reports, and presentations; and training/assisting junior lab members in relevant computational methods. No formal supervisory responsibilities are anticipated.Required Qualifications:Associate Specialist - Master’s degree (or equivalent degree) or five to ten years of experience in the relevant specialization, by the time of hire. Full Specialist - terminal degree (or equivalent degree) or ten or more years of experience in the relevant specialization, by the time of hire. Experience/knowledge in computational biology, bioinformatics, genomics, neuroscience, cancer biology, statistics, computer science, or related field.Experience analyzing next-generation sequencing datasets.Proficiency in R and/or Python and Linux/Unix command-line environments.Ability to implement reproducible workflows, document code and analyses, manage research data securely, troubleshoot computational pipelines, and communicate quantitative results to multidisciplinary research teams.Applicant’s materials must list (pending) qualifications upon submission.Preferred Qualifications:PhD or equivalent research experience in computational biology, genomics, neuroscience, cancer biology, statistics, or a related field.Experience with single-cell or single-nucleus RNA-seq, WES/WGS, somatic mutation and copy-number analysis, tumor evolution/lineage-tracing, ecDNA or structural-variant analysis, clinical/genomic data integration, workflow managers, high-performance computing, Git/GitHub, and collaborative manuscript/grant preparation.Prior work in brain tumors or cancer genomics is desirable.See Table 24B for the salary range for this position. A reasonable estimate for this position is $78,300 - $201,700. Click here to apply.