瑞士苏黎世大学和苏黎世联邦理工学院博士后—多模态癌症数据分析

瑞士苏黎世大学和苏黎世联邦理工学院博士后—多模态癌症数据分析

苏黎世大学（德文：Universität Zürich；英文：University of Zurich；简称UZH）坐落于瑞士联邦第一大城市苏黎世。该校成立于1833年，经过180多年的洗礼，如今已成为瑞士规模最大、实力最强的综合性大学之一，同时是世界著名的州立研究型大学，欧洲研究型大学联盟成员。

Postdoc in multi-modal cancer data analysis at University of Zürich and ETH Zürich

Employer

University of Zurich and ETH Zurich

Location

Zurich, Canton of Zürich (CH)

Salary

Approximately 100k CHF / year

Closing date

20 Apr 2024

Discipline

Computing

Job Type

Postdoctoral

Employment - Hours

Full time

Duration

Fixed term

Qualification

PhD

Sector

Academia

The position:

Cancer is a complex tissue disease that involves multiple cell types including tumor, immune and stromal cells. These cells influence each other to dictate the outcome of the disease. Characterizing the cellular components and understanding the interactions of the tumor ecosystem is critical to identify the most appropriate treatment for each individual patient.

Our group is among the pioneers in the development and application of single-cell approaches for the comprehensive analysis of tumor ecosystems. Our mass cytometry based approaches enable simultaneous analysis of over 40 protein and transcripts in single cells in suspension and in tissues. Over the past years we have collected comprehensive imaging mass cytometry (IMC) data from over a thousand patients within the IMMUcan consortium. We also have access to RNAseq, whole-exome Seq (WES), H&E and whole slide multiplexed immunofluorescence of the same patients as well as associated clinical data.

We are looking for a highly motivated postdoc with a record of accomplishment in single-cell, spatial or image data analysis and experience with multi-modal data integration. Experience with deep-learning based data analysis will be considered a plus. The data is available and more data is being collected. This work will be embedded in a project driven by the European IMMUcan consortium of basic researchers, clinicians and data analysists from industry and academia with the goal to characterize the tumor microenvironment of up to 3000 patients by 2026. You will be based in the beautiful city of Zurich, Switzerland.

In this position, you will:

• Work in a collaborative and interdisciplinary team at the interface between the clinic, academia and industry

• Analyze and integrate highly multiplexed tissue imaging data with RNAseq, WES, and whole-slide imaging data

• Develop and apply approaches to integrate multidimensional data for the identification of biomarkers for patient stratification and treatment prediction

• Establish a deep-learning framework for IMC data and potentially for the integration with the other data types.

Ideally, you have:

• Obtained your PhD in the field of data science, computational biology, mathematics or statistics

• Previous experience with biological data analysis is required

• Single-cell, spatial data and/or images analysis experience are considered a plus

• Proficiency in R and python are required

• Previous knowledge in R package development is considered a plus

• A desire to work in a collaborative environment

• A good 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@uzh.ch). This position is available immediately and applications will be considered until the position is filled.

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