Post-Doctoral Researcher/ Computational Biology
We are looking for a postdoctoral researcher in Computational Biology to join the newly formed TiV research group at the IFOM-IEO Campus. The main aim of the group is to identify genes essential for cancer initiation and progression through high throughput in vivo RNAi screening. The ultimate goal is to identify “druggable” genes and design new therapeutic strategies to target them. Research in the group involves the use of a number of experimental systems including xenografts of human patient samples in immunocompromised animals as well as genetically modified mouse models. We are currently using high-throughput next generation sequencing for RNAi analysis, and whole-exome sequencing for the identification of mutation profiles in patients and corresponding xenografts. The Postdoctoral researcher will be a key member of the team, working to analyse and interpret the massive amounts of sequencing data.
The job requires a range of skills such as software and algorithm development, as well as strong statistical background and good understanding of biological problems.
Duration: 2 years, renewable up to 4 years.
· PhD degree in Computer science, Engineering, Biological Science or Biotechnology with strong experience in computational biology;
· Strong analytical ability;
· Experience in scripting languages such as python or perl in a Unix/Linux environment;
· Machine learning and/or biostatistics and familiarity with statistics packages such as R, Matlab or similar;
· Demonstrated proficiency working with large ‘omic datasets, such as NGS or microarray
· Knowledge of cancer biology is advantageous
Motivation to learn new things, versatility, as well as excellent oral/written communication and interpersonal skills are essential.
Positions will remain open until filled by a suitable candidate.
Interested candidates should submit an electronic version of their CV to: email@example.com firstname.lastname@example.org and email@example.com.