The Qiu Lab, set to commence on December 16, 2023, within the Departments of Genetics and Computer Science (Courtesy) and the Basic Science and Engineering (BASE) Initiative of Stanford University, is in search of exceptional experimentalists or technology developers. We welcome applicants with expertise in genomics, bioengineering, developmental biology, synthetic biology, or closely related fields. While our primary interest is in bachelor-degree level candidates, graduates and master's research assistants are also encouraged to apply. Successful candidates will demonstrate a solid grounding in molecular biology, single cell, multiomics, spatial genomics assays, genetic editing, and other pertinent experience areas, including cell culture, imaging, mouse work, Perturb-seq, lineage tracing, nanopore sequencing, cardiovascular diseases, and more. Our goal is to apply and develop next-generation experimental tools for emergent single cell and spatial genomics technologies, focusing on dissecting the molecular mechanism during development and diseases such as embryogenesis, hematopoiesis, heart organogenesis, and congenital heart disease. An ideal candidate will not only bring a rich experimental background but will also exhibit a collaborative spirit, enthusiasm for interdisciplinary research, and an appetite for pioneering new research domains in genomics.
The Qiu Lab at Stanford is a brand-new lab that previously made significant contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include Spateo: Qiu et al., bioRxiv, Stereo-seq: Chen et al., Cell, 2022; Dynamo: Qiu, Zhang, et al., Cell, 2022; Monocle 2: Qiu et al., Nature Methods, 2017a/b. We pride ourselves on our aptitude for developing innovative and foundational algorithms and software that combine advanced genomics approaches with advanced machine learning, dynamical systems, and other systems biology approaches to learn data-driven models to push the boundary of technology and biology and to eventually empower biologists to gain mechanistic and predictive insights of cell fate transitions in development and diseases. The chosen candidate will join a multidisciplinary team of biologists, engineers, machine learning experts, mathematicians, and physicists. We offer an enriching training environment where post-docs, students, and other members can grow into leaders in both academia and industry.
We offer a highly competitive salary, adjustable based on the candidate’s training level. The candidate will need to primarily work in the lab located in Stanford's picturesque main campus, which is also close to Silicon Valley, a hub for biotechnology, engineering, and computer science.
Stanford university is an equal opportunity employer. Diversity and inclusion are core values of Stanford and the University is committed to non-discrimination in employment.
Duties include:
The expected pay range for this position is $53,000 to $76,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.
At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.
DESIRED QUALIFICATIONS:
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree in related scientific field.
KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):
CERTIFICATIONS & LICENSES:
None
PHYSICAL REQUIREMENTS*:
WORKING CONDITIONS:
Additional Information