Senior Biological Data Scientist in Immunology
Bioinformatics Core in the UCSF-Bay Area Center For AIDS Research (CFAR)
Job Summary
Opportunity to make an impact in HIV research as the data science lead of the newly established Bioinformatics Core in the UCSF-Bay Area Center For AIDS Research (CFAR), led by Dr. Gabi Fragiadakis and Dr. Sulggi Lee. We are seeking a computationally-focused research scientist interested in analyzing high-dimensional immune system and HIV data, and developing methods toward answering questions in HIV biology and disease. This role includes being a lead collaborator on projects that involve high-dimensional datasets from HIV patients and models as well as an opportunity to advise on a series of projects. In addition, there is an expectation to provide resources, training, and community building among computationally-focused HIV researchers. In addition to being embedded in the HIV research community, this position would be embedded in Dr. Fragiadakis’s Lab (Data Science CoLab dscolab.ucsf.edu) a computational immunology research lab that pursues questions of immune state using single-cell methods, providing an environment of computational biologists and data scientists with which to work.
We are looking for a computational biologist who is excited to delve into applied problems in immune system state and HIV research from a data analysis and translational research, as well as methods development, perspective. Best candidates would have extensive experience working with large biological datasets, such as single-cell immune system data (single-cell RNAseq, CyTOF), with interest in working with new data types. Experience with data management, multi-modal datasets, and machine learning/statistics is preferred, along with interest in working collaboratively, teaching and learning from both data scientists and wet-lab biologists. Position is based at UCSF Parnassus campus.
Learn more and apply!
