岗位介绍
应用肿瘤免疫临床合作组现招聘一位积极进取的研究员，该组由 Dirk Jäger 教授领导，拥有一支充满活力的多学科团队，由湿实验室科学家、医生和计算科学家组成。
您将有机会参与前沿项目和临床试验，并在揭示肿瘤免疫微环境方面发挥重要作用。
你的任务
开发/应用用于处理组织学、免疫荧光和多重成像数据的图像分析流程
开发/应用用于图像分析的 ML/DL 模型，包括分割、分类、对象检测等。
设计、开发和维护自定义脚本和软件以自动化任务并简化工作流程
使用数字病理学软件（例如 HALO、QuPath）进行组织图像分析，以定量评估组织学和免疫荧光数据
对组织样本进行成像光谱测量（例如拉曼光谱）以表征生化特征
应用化学计量学和多元统计技术进行光谱分类和解释
与多学科团队中的生物学家、临床医生和数据科学家密切合作
迎接挑战，坚持交付高质量成果
记录工作流程、撰写报告并为科学出版物做出贡献
紧跟上述领域的进展，并将新技术应用于正在进行的项目
在会议上展示研究成果并为科学出版物和资助申请的准备做出贡献
A position has opened for a highly motivated researcher in the dynamic multidisciplinary team – comprising wet-lab scientists, physicians, and computational scientists – of the Applied Tumor Immunity Clinical Cooperation Unit headed by Prof. Dr. Dirk Jäger.
You will have the opportunity to work on cutting-edge projects and clinical trials and to make a significant impact on deciphering the tumor immune microenvironment.
YOUR TASKS
Develop/apply image analysis pipelines for processing histological, immunofluorescence, and multiplex imaging data
Develop/apply ML/DL models for image analysis, including segmentation, classification, object detection, etc.
Design, develop, and maintain custom scripts and software to automate tasks and streamline workflows
Perform tissue image analysis using digital pathology software (e.g., HALO, QuPath) for the quantitative assessment of histological and immunofluorescence data
Perform imaging spectroscopy measurements (e.g., Raman) on tissue samples to characterize biochemical signatures
Apply chemometric and multivariate statistical techniques for spectral classification and interpretation
Work closely with biologists, clinicians, and data scientists in a multidisciplinary team
Thrive on meeting challenges and insist on high-quality deliverables
Document workflows, write reports, and contribute to scientific publications
Stay current with advancements in the aforementioned fields, and apply new techniques to ongoing projects
Present research findings at conferences and contribute to the preparation of scientific publications and grant applications
岗位要求
计算机科学、计算生物学、工程学或相关领域的硕士或博士学位
具有图像和光谱数据分析计算技术经验，包括 ML/DL
具有成像光谱（例如拉曼）经验，包括数据采集、处理和解释
精通用于数据分析和流程开发的编程语言（例如 Python、MATLAB 等）
不仅能够独立工作，还能在我们的多学科研究环境中工作
强大的解决问题能力和出色的书面和口头沟通能力
在期刊/会议上发表过相关研究成果或在行业环境中拥有同等经验
具有癌症研究、免疫学或转化生物医学科学方面的经验者优先
具有数字病理学软件（例如 HALO、QuPath）使用经验者优先
您的简历和求职信必须包含在申请材料中，其中需概述您的成就和以往经验（与招聘广告相关）。请提供 2-3 位推荐人的联系方式，以证明您的学术和/或专业资格。
A master's or PhD in computer science, computational biology, engineering, or a related field
Experience with computational techniques for image and spectral data analysis, including ML/DL
Experience with imaging spectroscopy (e.g., Raman), including data acquisition, processing, and interpretation
Proficiency in programming languages (e.g., Python, MATLAB, etc.) for data analysis and pipeline development
Ability to work independently, but also within our multidisciplinary research environment
Strong problem-solving skills and excellent written and verbal communication skills
Track record of relevant research publications in journals/conferences or comparable experience in an industry setting
Prior experience in cancer research, immunology, or translational biomedical sciences is a plus
Prior experience with digital pathology software, e.g., HALO, QuPath, is a plus
Your CV and cover letter outlining your accomplishments and prior experience (relevant to the ad) must be included in your application. Please include the contact information of 2–3 referees who can attest to your academic and/or professional qualifications.
咨询
Dr. Lea Schweßinger
+49 (0)6221/56-34250