Computational HIV and Host Genomics Postdoctoral Position

Location: 
995 Potrero Avenue, Building 80, Box 0874
San Francisco, CA 94110
United States
Job Posted Date: 
December 19, 2019
Opportunities: 
Academic Positions
Full-time Positions
Postdoc Positions
Postdoc Positions at UCSF
Population: 
Global Health
Medicine

Who We Are

We are a new research group based at the UCSF San Francisco General Hospital campus. Our work focuses on translational (“bench-to-bedside”) HIV cure and pathogenesis studies. We perform clinical studies (directly enrolling study participants), collaborate with leading international HIV laboratory scientists to generate high throughput genomics and immunologic discovery-based data, and perform integrative analyses of these data.

Even with advances in HIV antiretroviral therapy (ART), individuals with HIV experience higher rates of aging-associated diseases and death compared to individuals without HIV. HIV is suppressed but not fully eradicated with HIV treatment, and thus, residual inflammation may persist for years, leading to increased risk of cardiovascular disease, stroke, cancer, and death. Our goal is to combine advanced genetic and immunologic technologies and unique clinical populations to identify potential novel targets for addressing viral eradication and chronic immune dysfunction in HIV-infected individuals.

The Position

We have an opening for a computational and data science research specialist with expertise in bioinformatics, statistics, computational biology, or other relevant quantitative disciplines (computer science, physics and mathematics). The position will provide critical support for discovery-based research, adapting novel analysis tools to identify how HIV causes disease in the host. Current projects include genomewide, whole exome sequencing, single cell RNA and antibody sequencing, and HIV integration (host-pathogen) studies. The position will involve close interaction with HIV clinical researchers and basic laboratory scientists. High levels of drive, innovation, attention to detail, independence, and accountability are desired, along with flexibility to work with diverse teams that encompass all aspect of HIV translational research. There will be opportunity to develop new computational methods and actively publish research.

Job Requirements: 
  • PhD in bioinformatics, computer science, computational biology, physics, mathematics, statistical genetics, and/or relevant field.
  • Strong demonstrated ability to deliver high quality work with attention to detail and the ability to meet strict deadlines.
  • Proficiency with programming languages, simulations, and scripts (e.g., Python, Perl, Matlab, R, C/C++) as well as with hands-on genomic data and statistical analyses (R).
  • Comfortable handling large datasets (e.g., >1 terabyte) and working within Linux-based cloud computing clusters.
  • Demonstrated previous research experience through at least one first-author publication in a reputable journal.
How to Apply: 

To apply, please send CV, cover letter and three references to Sulggi Lee, M.D., Ph.D. at [email protected]

Location: 
San Francisco
Greater Bay Area
Peninsula
California