苏黎世大学2018年博士后招聘（精密医学）

The project and position:

Cancer is a complex tissue disease that involves multiple cell types including tumor, immune, and stromal cells. These cells closely interact and influence each other to drive disease progression. Comprehensively characterizing the cellular components and understanding how the different cells interact in the tumor ecosystem is critical to identification of the most appropriate treatment for each individual patient.

Our group is among the pioneers in the development and application of single-cell proteomic approaches for the comprehensive analysis of tumor ecosystems. Our imaging mass cytometry approach enables simultaneous visualization of over 50 proteins and transcripts in single cells in tissues (Nat. Methods, 2014 & 2017). Application of mass cytometry to kidney cancer samples revealed novel immune cell phenotypes associated with poor progression-free survival (Cell, 2017).

We are seeking a highly motivated postdoctoral fellow to join the lab to help unravel the workings of the tumor ecosystem in different types of cancers as part of a translational precision medicine project. The project will involve suspension and imaging mass cytometry. Machine learning approaches and systems biology analyses will be used to infer cellular network models describing the components and the wiring that underlies the tumor ecosystem and to suggest appropriate treatments for patients.

This project will be a collaboration with Roche and clinicians to make the promise of precision medicine a reality. The postdoctoral fellow will be located at the University of Zurich.

In this position you will:

• work in a collaborative and interdisciplinary team at the interface of the clinic, academia, and industry

• analyze complex, high-dimensional, spatially resolved single-cell data to be translated to the clinic

• publish as a lead author in highly visible journals

You must be:

• a highly motivated Ph.D.- or M.D./Ph.D.-level researcher with a passion for science who would like to work in a collaborative multidisciplinary research environment that combines systems biology, tumor biology, bioinformatics, and biomedicine

Ideally, you have:

• acquired your Ph.D. recently (maximum of 4 years ago) 

• experience in single-cell analysis and/or tissue imaging 

• expertise in statistical and machine learning approaches for analysis of large datasets 

• a desire to work in a collaborative environment 

• an excellent proficiency in English (German is optional)

To apply:

Send by email a cover letter (including an explanation of your motivation), your CV, and the contact information of at least two references to Prof. B. Bodenmiller (bernd.bodenmiller@imls.uzh.ch). This position is available starting immediately. Applications will be considered until the position is filled….