It emerges as an exciting new field both in quantitative biology and computational biology on studying how eukaryotic cells make cell fate decisions and convert between different cell types by integrating big data analyses and mechanistic studies. My lab has been focusing on putting single cell high throughput (e.g., sequencing and imaging) data analyses within the framework of mechanistic modeling. The Xing Lab has an immediate opening for a highly motivated researcher at either a staff researcher, PhD student, or postdoc level. I especially look for applicants with background in dynamics inference from data, single cell genomics data analyses, and/or mechanistic studies of cellular processes. The researcher will collaborate with other lab members and external collaborators at Harvard, UCLA, UPitt, etc.
Competitive candidates for the postdoc are expected to:
1) Have recently earned a PhD (within the past 1–2 years) or expect to complete one within the next six months;
2) Possess experience in single-cell omics data analysis;
3) Bring additional expertise in AI/ML or dynamical systems theory–based modeling, or be willing to collaborate closely with lab members who have these backgrounds;
4) Demonstrate strong motivation and enthusiasm for learning new skills;
5) Show a record of productivity, including first-author publications.
For application, please send c.v. and a research plan to me at xing1@pitt.edu. After initial screening, I may ask three reference letters arranged to be sent to me directly.