Career Center

The Division of HIV, Infectious Diseases and Global Medicine at Zuckerberg San Francisco General Hospital (ZSFG) is an internationally recognized global leader in HIV clinical care, research and education and has grown to encompass a network of specialty clinics, multiple research and clinical trials, an infectious diseases/HIV education program, an international research program in East Africa and a vibrant community forum for clinicians and researchers.

Dr. Lee's research group (https://sulggileelab.ucsf.edu/), housed within the division, focuses on clinical and translational research, and in particular, observational cohort and clinical trial studies that focus on infectious diseases, such as HIV and SARS-CoV-2 . The Senior Computational and Data Science Research Specialist will work at an independent level to assist the Principal Investigator in running the computational aspects of Dr. Lee's research group. He/she will have the unique opportunity to work directly with project directors and research collaborators in designing and implementing data analysis methods to analyze a wide range of multidisciplinary projects. These include host genomewide (e.g., whole genome sequencing, GWAS microarray), single cell sequencing (e.g., 10X scRNA/VDJ/ATAC/antibody), pathogen-specific assays (e.g., HIV reservoir quantification by droplet digital PCR methods, HIV-host integration PCR assays). The incumbent will directly perform complex analyses applying novel computational methods, manage the research group's server space (UCSF Wynton HPC cluster), assist in overseeing and mentoring trainees (e.g., postdoctoral fellows, graduate students), and be a major part of bringing the analysis projects to.

The candidate should have a strong background in biostatistics, statistical genetics, and single cell sequencing bioinformatics. He/she should have strong interpersonal and communication skills to be able to interact with a interdisciplinary collaborators (clinical and laboratory-based).

Depending on the candidate's interest, there is the potential to help build and support the new Center for AIDS Research (CFAR) Bioinformatics Core, for which Dr. Lee is the Co-Director. The new CFAR Bioinformatics Core aims to provide computational support to HIV researchers performing bioinformatics projects, with a strong emphasis on mentoring junior trainees (https://cfar.ucsf.edu). There is also potential for yearly travel to HIV cure conferences to meet with key international research collaborators. These are not requirements, however.

There is a strong social-justice component to this job - your work will be directly contributing to projects that are focused on improving the health of individuals through novel application of advanced laboratory and computational methods.