This ambitious project, entitled “Single-cell cancer evolution in the clinic”, aims at characterizing the clonal composition and evolution of patient-derived organoids from single-cell multi-omics data, with the goal of defining 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 Data and Computational Biology Lab of the Università degli Studi di Milano-Bicocca, Italy (http://dcb.disco.unimib.it), in tight collaboration with computer scientists, bioinformaticians and computational biologists. Her/his tasks will be to develop algorithmic tools for the analysis and integration of data collected from single-cell experiments.
The ideal candidate will have:
● PhD in computer science, data-science, machine learning, bioinformatics, computational biology, or related field.
● Strong expertise in programming, bioinformatics and (big) data analysis.
● Interest in translational research and biomedical sciences.
● Knowledge of mathematical and statistical software such as R, Python and Matlab™ (or similar)
● Ability in independent research and proven aptitude in interaction with interdisciplinary scientific teams
● Excellent fluency in English and efficiency in technical/scientific writing.
Most desirable are already acquired experiences with single-cell 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 in 2023, with a salary up to 30,000 EUR (gross).
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 firstname.lastname@example.org. Use the same address for all inquiries.
Post-doc position in the fields of Bioinformatics and Data Integration in Cancer Evolution
Università degli Studi di Milano-Bicocca, Milan, Italy.
Deadline for application
April 30, 2021