We are targeting applicants of all genders.
Full-time | initially limited to 2 years | Announcement number: 1081-2023
We are recruiting a data scientist or bioinformatician to support our tumor-immunological research projects on adaptive immune responses and organ-specific immune niches in solid tumors. The new position is affiliated with the Research Group of Quantitative Immunology, led by Dr. Katharina Imkeller at the University Hospital Frankfurt and the Frankfurt Cancer Institute. The research group is embedded in several existing oncology networks that include the University Cancer Center (UCT Frankfurt-Marburg), the German Consortium for Translational Cancer Research (DKTK), the Mildred-Scheel Career Center (MSNZ), and the Frankfurt Cancer Institute (FCI). The group closely interacts with the Immunomonitoring-Platform of the FCI and the Clinical Translation Platforms 'Brain Cancer' and 'Metastases'.
The Research Group of Quantitative Immunology combines experimental and computational techniques to understand the inter- and intra-individual heterogeneity of tumor-immune interactions in humans. The group develops computational tools and quantitative models for human immunology as well as methodology for high-dimensional immunological and spatially resolved multi-omics data. Group website: agimkeller.github.io
As a data scientist in quantitative immunology, you will actively contribute to the software development and data analysis for our ongoing tumor-immunological research projects and closely interact with our clinical collaboration partners. Your tasks include:
* Analysis of multi-dimensional immunological datasets using R/Python. Data types include: spatial/single-cell transcriptomics, BCR/TCR repertoires, imaging data.
* Software development in R/Bioconductor and/or Python.
* Development of dashboards and shiny apps for interactive data visualization and exchange with clinical collaboration partners.
* General tasks (user and data management, administration, maintenance).
* A bachelor’s/master’s degree in bioinformatics, biophysics, or similar; a PhD degree or training as (bio-)informatician are beneficial.
* Hands-on experience in analyzing (single-cell/spatial) transcriptomic data. Motivation to expand your methodological skill set.
* Proficiency in Linux operating systems and software development using R or Python.
* Desire to work independently in an international environment and to contribute to high-quality data analysis and research software.
* Strong interest in immunology or cancer biology.
* Fluency in English language.
* Due to legal regulation, a valid proof of measles immunity/measles vaccination is mandatory.
Collective agreement: In addition to an attractive salary based on a collective agreement with an annual special payment, you benefit from long-term security through company pension schemes.
Mobility: Free public transport in all Hessen (Free State Ticket Hessen).
Campus: Our attractive university hospital campus offers a modern cafeteria, various cafes, and opportunities to rest in numerous green spaces.
Work-Life-Balance: Part-time employment is possible, we offer childcare in our daycare center, child care during holidays, and many attractive offers for health promotion.
Health Promotion: Benefit from our attractive health offers. We offer regular online and face-to-face courses on nutrition, relaxation, sports, and exercises.
Professional development: Internal and external training for your professional development.
Women are underrepresented in these positions at the University Hospital Frankfurt. Applications from women are therefore particularly welcome. Disabled applicants are preferred if they have the same personal and professional qualifications.
We are looking forward to your application! For further information on the position, please contact Dr. Katharina Imkeller (imkeller@rz.uni-frankfurt.de). Apply until 31.01.2024. Please state the announcement number (1081-2023) and a possible starting time and include a motivation letter, CV, names of two references, and degrees.
#J-18808-Ljbffr