• [Photo] David Siegel March 30, 2020

    BACKGROUND

    We are a 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.

    RESPONSIBILITIES

    We have an opening for a postdoctoral scholar 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.

    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++)
    • Demonstrated previous research experience through at least one first-author publication in a reputable journal

    PREFERENCES

    • Hands-on experience with genomic data and statistical analyses (R)
    • Experience in analysis of high throughput sequencing data
    • Background in biology and immunology and familiarity with molecular biology and biochemistry lab techniques
    • Prior success in working collaboratively in team-based settings
    • Resourcefulness to set one's own deadlines, research and seek analytic tools to be applied to novel datasets

    LOCALE

    San Francisco, CA

    COMPENSATION

    $58,000.00 to $69,000.00 /year

    HOW TO APPLY

    Please visit https://opportunities.ucsf.edu/content/computational-postdoctoral-position
    or send a CV, cover letter, and three references to Dr. Sulggi Lee, M.D., Ph.D. at sulggi.lee[at]ucsf.edu.

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