Analysis, integration, and visualization of multiple types of omics data, including genomics and transcriptomics (bulk and single cell); Application of modern biostatistics and machine learning methods to high-throughput molecular data; Contextualization of results from omics experiments, including correlation with clinical endpoints and phenotypes, generation and comparison of molecular signatures, pathway- and network- level analyses; Communicating with, and presenting your work to, a diverse audience of biologists, clinicians, and data scientists
Requirements:
PhD in bioinformatics, computational biology, biostatistics, data science, biomedical informatics, or a related field, with postdoctoral experience in academia or the pharmaceutical/biotechnology industry; Excellent knowledge of computational methods for the analysis, integration, and interpretation of multiple types of high-throughput biological data from high-throughput technologies (e.g., SNP arrays, WES/WGS, bulk RNA-seq, scRNA-seq, CITE-seq, spatial transcriptomics)
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Mai 2023 Switzerland Stellenbeschreibung 250! The number of genomics research projects that are waiting for your data analysis expertise every year. Your work will be important towards faster discovery and development of next generation breakthrough therapies for unmet medical need. The Immunology Disease Area at the Novartis Institutes for BioMedical Research (NIBR) is looking for a senior data scientist to lead the analysis, integration, and interpretation of multiple types of omics data to advance our drug discovery programs for immune-mediated inflammatory diseases. Our Data Science team provides translational bioinformatics and data analytics expertise to support clinical and preclinical drug candidates in the areas of rheumatology and dermatology. We apply computational biology and machine learning approaches to internal and external biomedical data to enable strategies for disease understanding, target identification, biomarker discovery, indication selection, and patient stratification. Your responsibilities: • Analysis, integration, and visualization of multiple types of omics data, including genomics and transcriptomics (bulk and single cell). • Application of modern biostatistics and machine learning methods to high-throughput molecular data. • Contextualization of results from omics experiments, including correlation with clinical endpoints and phenotypes, generation and comparison of molecular signatures, pathway- and network- level analyses. • Communicating with, and presenting your work to, a diverse audience of biologists, clinicians, and data scientists. Diversity & Inclusion / EEO Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Mindestanforderungen What you’ll bring to the role: • PhD in bioinformatics, computational biology, biostatistics, data science, biomedical informatics, or a related field, with postdoctoral experience in academia or the pharmaceutical/biotechnology industry. • Excellent knowledge of computational methods for the analysis, integration, and interpretation of multiple types of high-throughput biological data from high-throughput technologies (e.g., SNP arrays, WES/WGS, bulk RNA-seq, scRNA-seq, CITE-seq, spatial transcriptomics). • Demonstrated experience with the application of supervised and unsupervised machine learning methods to biomedical data. Experience with the application of deep learning methods to imaging data is considered a plus. • Excellent skills in statistical programming and reproducible research using R, Bioconductor, R Markdown, and/or Shiny. Experience with other programming languages (e.g., Python) is considered a plus. • Familiarity with Linux command line and high-performance computing environments. • Sound understanding of biology and immunology. Previous experience in translational research is considered a plus. • Excellent communication skills and knowledge of English (oral and written). Why consider Novartis? 799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges. Imagine what you could do at Novartis! Commitment to Diversity & Inclusion: Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential. Novartis are an equal opportunities employer and welcome applications from all suitably qualified persons Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network #LI-NOV = Novartis Business Unit IMMUNOLOGY - NIBR Location Switzerland Site Basel Company / Legal Entity Novartis Pharma AG Functional Area Data Science Job Type Full Time Employment Type Regular Shift Work No Apply to Job Access Job Account Job ID 373785BR
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