Are you interested in deciphering the developmental origins of childhood cancers?
Do you have experience analyzing genomics data and would you like to learn more about developing your own research projects? Then this position is ideal for you!
The Halbritter Group is recruiting a postdoctoral researcher (f/m/d) interested in applying and developing bioinformatics methods for analyzing genomics data at the interface of cancer and developmental biology. Join our multi-disciplinary team and get your hands on data from cutting-edge technologies and use computational approaches to tackle some of the unresolved mysteries in cancer biology.
Our team aims to understand the earliest cellular and molecular changes that occur in childhood cancers. By achieving a mechanistic understanding of the underlying biology, we hope to inspire new diagnostics and treatments. Our work ranges from the analysis of tumor specimens (doi.org/10.1158/2159-8290.CD-19-0138), through in vitro modelling of tumorigenesis (doi.org/10.1101/2022.11.21.515753), to the development and evaluation of bioinformatics methods (doi.org/10.1101/2023.03.28.534443). In a new project, recently funded by the Austrian Science Fund (doi.org/10.55776/PAT1300223), we will model embryonal tumors using organoid technology. You will contribute to ongoing and new projects with your know-how in data analysis, participate in the planning, design and oversight of experimental work, and actively develop your own research ideas.
Your tasks:
- Data analysis: You will analyze genomics data (e.g., single-cell RNA/ATAC-sequencing, spatial transcriptomics), and interpret your results to understand and communicate their significance
- Bioinformatics: You will keep on top of the latest developments in the field, survey and test methods, and may customize and develop algorithms yourself to get the job done.
- Learning: You will take a deep interest in cancer and developmental biology, and learn to ask and answer questions to enable new biological insights.
- Leading research: You will be a key driver of this project involved in and shaping all stages of the process. You will work with high scientific integrity and rigor.
- Dissemination: You will present your work at conferences, apply for fellowships, and write manuscripts.
- Teamwork: You will work in a highly collaborative multi-team environment alongside computational and experimental biologists and in constant exchange with collaborators around the globe.
- PhD in a relevant subject, e.g., bioinformatics, computational biology, or biostatistics, preferably with previous research in cancer or developmental biology
- An understanding of molecular and developmental biology, ideally in the field of cancer research
- Previous experience with applied genomics data analysis is essential, e.g., (sc)RNA-seq, (sc)ATAC-seq, ChIP-seq, or spatial transcriptomics
- Experience with at least one computer programming / scripting language (R, Python, Julia, etc.)
- A sound understanding of statistics, comfortable working in a Unix-based computing environment
- Passionate about reproducible, transparent, and open research
- Team player with proactive “getting things done’’ mentality
- Well-organized, determined, ambitious
- Excellent verbal and written English language skills (German is not required)
Please submit your application exclusively via the link provided on the website: ccri.at/working-at-the-ccri/job-openings/?jh=l3ev2i780hh5nl6qtnmwd3ljnqzd11v
Due to data protection regulations we are not able to process application documents via email.