Post-Doc Bioinformatician / Data Analyst for Translational Cancer Research Project in AML therapy
Location
University of Perugia
Host Lab
Laboratory of Protein Biochemistry and Haematology

The group of prof. Maria Paola Martelli at the University of Perugia - Laboratory of Protein Biochemistry and Haematology, CREO, Ospedale Santa Maria della Misericordia, Perugia, Italy, is currently looking for a (f/m) post-doctoral bioinformatician to work for the next five years in Biological Data Storage, Analysis and Annotation in the framework of an exciting and significant Translational Cancer Research Project in AML funded by an ERC Consolidator Grant.

We require:

First degree (Bsc) in Biological or Quantitative Sciences (Mathematics, Statistics, Computer Sciences, Physics, Chemistry and related qualifications).
PhD or documented scientific work experience with a relevant component of (biological/molecular) Quantitative Data Analysis and/or Programming for Data Analysis.
Good command of at least two of the following: scripting or programming languages (Perl, Python, Java or similar); statistical analysis packages (R, STATA or similar); mathematical modelling packages (Mathematica, MatLab or similar); good knowledge of DBMS managing and programming (MySQL, Oracle or similar).
Familiarity with HPC strategies in a Unix/Linux environment is mandatory.
Familiarity with NGS data analysis and annotation is a plus.
Familiarity with concepts of Molecular Oncology and/or Molecular Genetics is appreciated but not strictly required, since high-level training on these topics will be provided.
We offer:

A yearly full time research contract (“Assegno di Ricerca”), renewable up to five years. Starting salary is 25.000 Euro gross (around 1.550 Euro net/month), entirely financed by an ERC Consolidator Grant awarded to prof. Martelli. This starting salary can be increased, per the qualification and experience of the candidate.
An exciting and high-level translational cancer research project on the therapy of AML, based on an integrated approach ranging from CRISPR technology to high-throughput functional screening of pharmaceutical compounds and NGS data analysis.
High-level and well-supported analytical work on a well-established laboratory with an important background in the proposed topic and excellent perspectives of publication and scientific advancement in an important translational molecular oncology topic.
Requests for further information on the project and formal applications (including an updated CV and address of at least two scientific or technical references) should be emailed as soon as possible to: Prof.ssa Maria Paola Martelli, email address: maria.martelli@unipg.it.

Please note that applications will be reviewed also by an expert bioinformatician and that only selected candidates will be contacted.

This is an ongoing selection process so early application is advised.

Please do not forget to include in the CV the following authorization to the treatment of personal data, per the Italian Personal Privacy Law: “Autorizzo il trattamento dei miei dati personali, ai sensi del D.lgs. 196 del 30 giugno 2003”