Post-doc position in the fields of Bioinformatics, Computational Biology, and Data Analysis and Integration
We are looking for a post-doctoral researcher within the frame of a multidisciplinary project involving five different Institutions in Italy and UK. This ambitious project, entitled “Single-cell cancer evolution in the clinic”, aims at studying the evolutionary trajectories of cell clones in cancer tissues and in patient-derived organoids, in order to define effective and data-driven personalized therapeutic strategies, and it is funded by a joint Cancer Research UK (CRUK), Asociación Española Contra el Cáncer (FA-AECC) and Associazione Italiana per la Ricerca sul Cancro (AIRC) Accelerator Award.
The candidate will work within the BIMIB (BIoInformatics MIlano-Bicocca) laboratory of the Dept. of Informatics, System and Communication of the Università degli Studi di Milano-Bicocca, Italy (http://bimib.disco.unimib.it), in tight collaboration with computer scientists, bioinformatics and computational biologists.
The ideal candidate will have:
Most desirable are already acquired experiences with NGS data handling pipelines; familiarity with the application of statistical methods to single cell sequencing analysis is a plus. Candidates with such background will be given precedence.
The position is funded by the Università degli Studi di Milano-Bicocca under the Accelerator Award. The position is for 12 months, possibly renewable until the end of the project.
The current call is informal; information about the full selection procedure will follow ASAP pending University regulations. To be given preliminary consideration please send:
to accelerator-jobs@disco.unimib.it. Use the same address for all inquiries.
We are looking for a post-doctoral researcher within the frame of a multidisciplinary project involving five different Institutions in Italy and UK. This ambitious project, entitled “Single-cell cancer evolution in the clinic”, aims at studying the evolutionary trajectories of cell clones in cancer tissues and in patient-derived organoids, in order to define effective and data-driven personalized therapeutic strategies, and it is funded by a joint Cancer Research UK (CRUK), Asociación Española Contra el Cáncer (FA-AECC) and Associazione Italiana per la Ricerca sul Cancro (AIRC) Accelerator Award.
The candidate will work within the BIMIB (BIoInformatics MIlano-Bicocca) laboratory of the Dept. of Informatics, System and Communication of the Università degli Studi di Milano-Bicocca, Italy (http://bimib.disco.unimib.it), in tight collaboration with computer scientists, bioinformatics and computational biologists.
The ideal candidate will have:
- PhD in computer science, data science, machine learning, biostatistics, bioinformatics, computational biology, or related field.
- Strong expertise in programming, computational biology and (big) data analysis.
- Expertise in advanced (bio)statistics and machine learning.
- Interest in translational research and biomedical sciences.
- Knowledge of mathematical and statistical software such as R (BioConductor), Python, or Matlab™ (or similar)
- Ability in independent research and proven aptitude in interaction with inter-disciplinary scientific teams
- Excellent fluency in English and efficiency in technical/scientific writing.
Most desirable are already acquired experiences with NGS data handling pipelines; familiarity with the application of statistical methods to single cell sequencing analysis is a plus. Candidates with such background will be given precedence.
The position is funded by the Università degli Studi di Milano-Bicocca under the Accelerator Award. The position is for 12 months, possibly renewable until the end of the project.
The current call is informal; information about the full selection procedure will follow ASAP pending University regulations. To be given preliminary consideration please send:
- a curriculum vitae (with a list of publications)
- a statement of research
- a list of two or more references
to accelerator-jobs@disco.unimib.it. Use the same address for all inquiries.
