Cancer Dependency Map partnership<\/a>, whose broad goal is to systematically identify cancer vulnerabilities and dependencies that could be exploited therapeutically.<\/p>\nThe selected candidate will work on the development of new algorithms, analytical methods and tools for the analysis of data from perturbational screens performed on cancer pre-clinical models (cell-lines, organoids and patient derived xerographs) with various phenotypic readout (ranging from cell viability reduction, to sc-transcriptomics and spatial transcriptomics); will develop machine learning tools for the prediction of cancer dependencies and drug response from the integration of the aforementioned screens and the multiomic characterisation of the screened models; will interact with other research groups and prepare research products for manuscript submission and presentations to international meetings\/conferences.<\/p>\n
\n
Key tasks and responsibilities:<\/strong><\/p>\n\n- Performing original computational biology research and developing novel methods and models to identify clinically relevant cancer dependencies and vulnerabilities.<\/li>\n
- Developing and applying new tools for the integrative analysis and visualization of large multiomic \/ multimodal biomedical datasets,<\/li>\n
- Designing, implementing, and explaining predictive models based on statistical inference and machine learning approaches to identify molecular determinants of gene essentiality and drug response.<\/li>\n
- Contributing to the analysis and interpretation of multidisciplinary collaborative projects with translational and clinical collaborators.<\/li>\n
- Contributing to study design and research project management.<\/li>\n<\/ul>\n
Job requirements<\/strong><\/u><\/p>\nMandatory requirements:<\/strong><\/p>\n\n- PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or related fields.<\/li>\n
- Strong quantitative data analysis and visualization expertise.<\/li>\n
- Ability to own planning, execution, and delivery of scientific results.<\/li>\n
- Full proficiency in at least one scripting language (Python, R, Julia).<\/li>\n<\/ul>\n
Preferential requirements:<\/strong><\/p>\n\n- Experience in developing and implementing statistical and machine learning based predictive models.<\/li>\n
- Familiarity with major public sources of transcriptomic and genomic data.<\/li>\n
- Excellent verbal, written, analytical, and presentation communication skills.<\/li>\n
- Fluent in English.<\/li>\n<\/ul>\n
Other competencies:<\/strong><\/p>\n\n- Solid understanding of molecular biology and oncology.<\/li>\n
- Previous experience in single-cell omic data analysis, especially single-cell RNAseq.<\/li>\n
- Familiarity with cluster computing: Slurm, Nexflow, Snakemake.<\/li>\n
- Familiarity with graph databases and graph neural networks.<\/li>\n
- Programming languages: full scripting proficiency with both Python and R.<\/li>\n
- Python packages: PyTorch, Numba, CUDA.<\/li>\n
- Familiarity with software development best practices: testing, versioning, CI\/CD.<\/li>\n
- Strong publishing record in Computational Biology, Bioinformatics journals.<\/li>\n
- Experience in contributing to the design of collaborative multidisciplinary projects.<\/li>\n<\/ul>\n
Application Instructions<\/strong><\/p>\nTo apply, please send the following:<\/p>\n
\u2022 a CV.<\/p>\n
\u2022 a motivation letter in English relating your track record to the specifics of the call.<\/p>\n
\u2022 names and contacts of 2 referees.<\/p>\n
\n
Additional information<\/strong><\/p>\nHT offers a highly collaborative, international culture. The working language at HT is English. HT will foster top quality, interdisciplinary research by promoting a vibrant environment consisting of independent research groups with access to outstanding graduate students, postdoctoral fellows and core facilities.<\/p>\n
HT is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to a leading, internationally competitive, research organization and seeks to promote a collegial and open atmosphere. The compensation package granted will be internationally competitive and comprise pension scheme, medical and other social benefits.<\/p>\n
Special consideration will be given to candidates who are part of the protected categories list, according to L. 68\/99.<\/strong><\/p>\nNumber of positions offered:<\/strong>\u00a01<\/p>\nContract offered<\/strong>: CCNL Chimico Farmaceutico, Fixed-term 4 years – employee level.<\/p>\nThe position is based in\u00a0Milan<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"APPLICATION CLOSING DATE: July 3rd, 2023 Human Technopole (HT)\u00a0is a new interdisciplinary life science research institute, created and supported by the Italian Government, with the aim of developing innovative strategies to improve human health. HT is composed of five Centers: Computational Biology, Structural Biology, Genomics, Neurogenomics and Health Data Science. The Centers work together to …<\/p>\n","protected":false},"author":2526,"featured_media":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","jobpost_category":[14272],"jobpost_job_type":[],"jobpost_location":[487],"class_list":["post-56190","jobpost","type-jobpost","status-publish","","jobpost_category-postdoctoral","jobpost_location-italie"],"translation":{"provider":"WPGlobus","version":"2.12.2","language":"en","enabled_languages":["fr","en","es","de","ar"],"languages":{"fr":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":false},"es":{"title":false,"content":false,"excerpt":false},"de":{"title":false,"content":false,"excerpt":false},"ar":{"title":false,"content":false,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/jobpost\/56190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/jobpost"}],"about":[{"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/types\/jobpost"}],"author":[{"embeddable":true,"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/users\/2526"}],"replies":[{"embeddable":true,"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/comments?post=56190"}],"wp:attachment":[{"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/media?parent=56190"}],"wp:term":[{"taxonomy":"jobpost_category","embeddable":true,"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/jobpost_category?post=56190"},{"taxonomy":"jobpost_job_type","embeddable":true,"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/jobpost_job_type?post=56190"},{"taxonomy":"jobpost_location","embeddable":true,"href":"https:\/\/medjouel.com\/en\/wp-json\/wp\/v2\/jobpost_location?post=56190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}