The Giovanni Armenise-Harvard laboratory of Immune Regulation, headed by Luigia Pace at IIGM in Candiolo (Turin, Italy), is seeking for a highly motivated and skilled bioinformatician. The Italian institute for Genomic Medicine (IIGM, www.iigm.it), is located at the FPO IRCCS Candiolo Cancer Institute, (Turin), Italy (www.research.fpoircc.it). The main goal of IIGM is to foster and develop excellence in translational medicine, immunology, genomic research and education, with a strong focus on cancer. The institute provides high-level scientific education, and access to state-of-the-art research facilities.
The Immune Regulation unit is an interdisciplinary group, which addresses fundamental aspects of immune responses, related to memory T cell differentiation and long-term protective immunity following infection and cancer. Our research aims to understand how T lymphocytes integrate complex environmental stimuli into specific epigenetic and differentiation programs, which specify cell fate commitment and function. The research’s goal is to use this knowledge to develop novel molecular targets and strategies for the prevention and treatment of cancer in the new field of cancer immunotherapy.
We encourage applications from talented scientists, who are interested in gaining experience in a growing multidisciplinary and dynamic research environment that integrates expertise in immunology, computational and advanced molecular biology in the context of cancer and infections. The candidate will spearhead computational and systems immunology analyses in the context of translational and personalized biomedicine, with a strong focus on epigenetics and single cell multi-omics of immune cells in the context of cancer and infections.
The candidate will combine a variety of high throughput approaches, including next generation sequencing of RNA and epigenetics marks, single cell multi-omics, including the development of new computational pipelines aimed at the integration of different multi-omics. We offer an exciting opportunity to learn new advancements in the bioinformatics field while contributing to new research in personalized medicine in cancer.
Qualifications and requirements:
• Master or PhD degree in Bioinformatics, Biostatistics, Mathematics, Physics or related field
• Experience in computational data analysis (RNA-seq, ChIP-seq)
• Strong programming skills (R, Python, Bash)
• Mastering bioinformatics and biostatistics tools (R, Bioconductor)
• Experience in high-throughput data analysis and multivariate statistics
• Good communication skills and self-motivation
• Fluent in spoken and written English
Offered contract: post-doc contract or post-graduate fellowship (according to the seniority).
The positions is available for up to 5 years.
To apply for this position please submit a cover letter (in English) describing research experiences, interests, motivation, CV and contact information of three references.
References: Pace L, et al. Science 2018; Pace L, et al. Current Opinion Immunol. 2020; Alessandri’, et al. GigaScience 2019; Pace L, et al. Science 2012.