The laboratory of Dr. Catera Wilder in the Department of Bioengineering and Therapeutic Sciences at the University of California, San Francisco (UCSF), which brings together the world’s leading experts in nearly every area of health, is seeking a postdoctoral scholar. The research laboratory of Dr. Catera Wilder is engaged in groundbreaking projects focused on developing quantitative and computational tools to reveal how cells interpret and integrate complex, overlapping signaling cues to make precise physiological decisions during an immune response using shared signaling pathways. By examining cellular mechanisms of signaling specificity—where a single pathway can produce multiple distinct responses—this work will define the fundamental principles that allow for precise, adaptable cellular responses across diverse biological systems. These insights will address a key challenge in cellular physiology: understanding how cells achieve signaling specificity, which is critical for advancing fields from immunology to tissue repair and regeneration. This research promises to allow for effective modulation of specific cellular functions using cell engineering or pharmaceutical approaches by determining which molecular targets are critical for producing stimulus-specific outcomes.
The Wilder Lab is seeking researchers for postdoctoral fellow positions with expertise in the theory of and analytic methods of mathematical and computational modeling, statistics, or a related field (e.g. systems biology, computational biology, data science, applied mathematics). Some experience with experimental lab techniques would also be beneficial for the project but not required. As a member of the Wilder Lab, the postdoctoral fellow will develop predictive, quantitative and computational tools to investigate dynamical cell systems that allow cells achieve signaling specificity within shared pathways. Thus, the hire would be using differential equation-based models to simulate signaling and gene expression responses as well as machine learning models to determine predictive features of immune responses. The hire would also help with teaching and supervising junior lab members. The candidate should be a team player, willing to learn and take risks, and be dedicated.
Dr. Wilder has fostered a boundary pushing and team-oriented group that uses an interdisciplinary approach to uncover cellular and molecular mechanisms causing immune-related pathogenesis and uses this knowledge to develop cell-based immunotherapies. The Wilder group has established expertise in understanding innate immune and inflammatory responses by studying the temporal dynamic regulation of signaling pathways and gene expression programs in lung epithelial cells using an iterative systems biology approach involving mathematical and experimental approaches.
In addition to enthusiasm, motivation and independent thinking, candidates must have a working knowledge of quantitative and computational modelling and simulation, including some statistical principles. Strong programming skills in Matlab, Python, or R and experience in dynamic modeling are essential. Knowledge of immunology and a general understanding of molecular biology and biochemical related experiments and analysis are preferred.
Ideal candidates will have a passion about scientific research with the willingness and ability to learn and integrate knowledge from across different scientific areas. Personal skills such as teamwork, accurate listening, strategic thinking, along with very good oral and written English language skills will be critical for the successful candidates.
Post-doctoral research fellow candidates should have completed or obtained a PhD in a relevant discipline such as biomedical engineering, systems biology, computational biology, data science, applied mathematics, or related fields and have demonstrated a strong track record of research productivity by publishing in peer reviewed journals.
The successful candidates will be located in the Wilder Laboratory on the Parnassus Heights campus of UCSF and associated with the Chan Zuckerberg (CZ) Biohub San Francisco and the Bakar ImmunoX Initiative. CZ Biohub San Francisco is focused on developing new technologies to tackle ambitious research projects, with the aim of understanding dynamic cell systems across scales in both healthy and diseased states. ImmunoX is an ambitious, first-in-class program at UCSF that uses social engineering, state-of-the-art technologies and infrastructure, and a unique data-sharing model to support a community of researchers and clinicians as they work toward solutions together
Salary is commensurate with experience. E-mail a curriculum vitae, a letter stating research interests and contact information for three references to: [email protected].
Deadline for applications: 28 February 2025.