Environment
The Canary Center at Stanford is a newly opened world-class facility dedicated to cancer early detection research programs. The mission of the center is to foster research leading to the development of blood tests and molecular imaging approaches to detect and localize early cancers. The Multi-scale Diagnostics Laboratory, within the Canary Center, hypothesizes that accurate methods for simulating cancer’s multi-scale properties may lead to dramatic advances in the discovery and application of approaches to personalize cancer care.
Job Description
We are looking for a highly-qualified, and creative postdoctoral fellow with an active interest in computational systems biology. The ideal candidate will be an energetic scientist/engineer with excellent written and verbal communication skills. The ideal candidate will have either a physical sciences or biological background, but must be comfortable interacting with scientists whose backgrounds are extremely diverse.
The successful applicant will work in a laboratory focused on the development of quantitative multi-scale models of cellular regulation. We currently expect that modeling will integrate a formal description of protein production and degradation towards uncovering a compact representation of cell state and an associated state-transition function.
Requirements
Necessary skills include a recent PhD or current postdoctoral position in quantitative sciences (physics, or applied mathematics), engineering (electrical engineering, computer science, industrial engineering), bioinformatics, cancer biology, cell biology and two or more publications in peer-reviewed journals or well-regarded conference proceedings.
Familiarity with systems biology and high throughput biologic analysis is preferred, but not essential. The ideal candidate will be comfortable with mining of large datasets, mathematical modeling and signal processing. The successful new hire will be highly self-motivated and creative and able to work effectively in a multi-disciplinary team. Experience in numerical analysis/programming (e.g. C++, R, MATLAB, Mathematic, etc.) is expected and a code-sample will be required. A successful applicant will possess abilities and expertise to integrate across large multi-omics datasets characterizing cell communities responses to environmental changes. In addition to the integration component, we expect this individual to assume responsibilities for empirical and/or de novo modeling to better understand connections among the "–omic" datasets.
Key factors in the success of this job include: high levels of attentiveness, ability to collaborate closely with others and willingness to learn.
Salary will be based on University guidelines for postdoctoral fellows, and will be commensurate with experience. Stanford University is an Equal Opportunity/Affirmative Action Employer. Interested applicants please submit CV, brief statement of interest and career goals, contact information and three references to the e-mail address below:
jobs@mallicklab.org
