The overall goal of the position is to support the developing research enterprises of the Child Health Advanced Molecular Phenotyping (CHAMP) Program, which is designed to help investigators better understand childhood disease by making high-quality human biological samples and molecular data more accessible across UCSF. Many serious pediatric illnesses remain difficult to explain using traditional clinical information alone.
CHAMP addresses this gap by supporting the careful collection, processing, preservation, and study of biological samples from children across a wide range of diseases and clinical settings. The goal is to make it easier for researchers to connect what is happening in a child's body at the molecular and cellular level with the clinical course of illness. CHAMP is built around two complementary goals.
The first is to create a coordinated infrastructure for collecting biofluids and tissues from willing participants, especially children with severe, rare, or poorly understood diseases. Whenever possible, samples are obtained from the sites most relevant to disease and are processed using protocols designed to preserve their value for both current and future technologies. The second goal is to pair these samples with advanced molecular profiling platforms that can generate detailed information about immune responses, gene expression, cellular states, antibodies, pathogens, and other features of disease biology.
These data can then be used by investigators across UCSF to generate new hypotheses, identify disease mechanisms, and ultimately improve diagnosis and treatment for children. CHAMP operates under IRB-approved protocols that allow collection of human biofluids and tissues, including biopsy and post-mortem specimens, across organ systems and age groups. The program has developed workflows for rapid processing, cryopreservation, and live cell preservation so that valuable samples can be studied with the best available technologies.
To accomplish these goals, CHAMP is primarily based in the Bodansky Lab but works closely and collaboratively with many additional laboratories across the UCSF ecosystem, and in particular the DeRisi Lab, Anderson Lab, Wilson Lab, and Arnold Labs, and applies state of the art technologies to unique patient cohorts towards transformative translational discovery. The Staff Research Associate will be involved in the laboratory to support these goals.
The primary role will be to process the biological samples obtained and to integrate with the team to optimally store and track them for downstream analysis and scientific inquiry. Duties will include a broad range of cell culture, human sample processing, biochemical, molecular, and functional genomic techniques, as well as learning to apply new technologies currently being developed Responsibilities % of time Essential Function (Yes/No) Key Responsibilities (To be completed by Supervisor) 20 Yes Under supervision, perform biochemical and molecular analysis (Western Blot, Immunohistochemistry, IP) and Perform state-of-the art functional genomics assays (e.g.
PhIP-Seq) 50 Yes Under supervision, perform human blood, biofluid, and tissue sample processing, tracking, and storage 10 Yes Participate in general lab maintenance with other lab members, record keeping, preventive maintenance of equipment, environmental safety and approvals (CAR), as well as other duties as assigned. 15 Yes Help design specific and implement specific experiments at the discretion of the PI. 5 Yes Analysis and presentation of data. 100% (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9.
The total sum should add up to 100%.) Required
BA/BS in a related science; or an equivalent combination of education and experience Basic understanding of immunology Computer proficiency, experience with Excel Experience working with human biospecimens Knowledge of basic laboratory techniques: pipetting, preparation of buffers, serial dilutions, chemical weighing and handling
Coursework or knowledge of immunology Working experience with Python and/or R Familiarity with database and statistical software Interest in pediatric translation and basic science
Full time · Day shift