Research Assistant (Junior/Assistant Specialist)

**Job Description**
The Benioff Center for Microbiome Medicine (BCMM) is seeking a motivated Junior/Assistant Specialist to join its Computational Hub, contributing to new and ongoing projects focused on advancing human microbiome research, particularly in early-life microbiome science and therapeutic development. This part-time (60% FTE) position supports microbiome research by providing analysis expertise to UCSF investigators, covering experimental design consultation, bioinformatics analysis of various sequencing data, and biostatistical analysis of high-dimensional datasets. The role involves close collaboration with computational biologists to ensure timely analysis and develop novel computational tools, working both independently and as part of a multidisciplinary team.

**Skills & Abilities**
• Experience applying bioinformatic and statistical tools to analyze omics datasets (e.g., microbiomics, transcriptomics, and/or clinical data)
• Ability to prepare high-quality data visualizations, reports, and presentations for publications and stakeholders
• Strong data management skills with accuracy, persistence, and attention to detail
• Ability to work across multiple projects in a collaborative research environment
• Demonstrated strengths in communication, teamwork, and contributions to manuscripts or reports (Preferred)
• Strong background in bioinformatics, biostatistics, and data visualization (Preferred)
• Proficiency in R and/or Python, and Bash scripting (Preferred)
• Experience with SQL and large datasets (Preferred)
• Prior experience with microbiome data analysis (e.g., 16S, shotgun metagenomics) (Highly desirable)
• Excellent communication skills, both written and verbal (Preferred)
• Self-motivated, well-organized, and able to work independently (Preferred)

**Qualifications**
Required Degree(s) in:
• Bioinformatics
• Biostatistics
• Related discipline

**Experience**
Other:
• 1+ years of experience in academia or industry working with omics data (Preferred)

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