ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration More ❯
ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration More ❯
ways of working (e.g. git/GitHub, DevOps tools for deployment). Preferred Requirements Demonstrated experience with biological or scientific data (e.g. genomics, transcriptomics, proteomics), or pharmaceutical industry experience. Bioinformatics expertise, familiarity with large scale bioinformatics datasets. Experience using Nextflow pipelines. Knowledge of NLP techniques and experience of processing unstructured data, using vector stores, and approximate retrieval. Familiarity with orchestration More ❯
biotechnological and agricultural systems. The main focus is on machine learning approaches, in particular statistical learning, reinforcement learning, deep learning, and computer vision, as well as the statistical and bioinformatics analysis of chemical and biological processes and systems, and to gain a deeper understanding of biochemical and biotechnological processes and systems through the integration of modern data science, machine learning … and bioinformatics methods. This also includes modern in silico methods for analyzing genomic, genetic, and phenotypic data. The focus is on applying data science methods to support the transition to a sustainable bioeconomy, taking into account economic and social science aspects. Teaching responsibilities include courses in the university's bachelor and master programs at TUMCS (Professional Profile Bioeconomy) in German … demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, relative to the relevant career level (please see for further information). A university degree in bioinformatics and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad is expected. Successful applicants will have the proven ability to More ❯
This is a fantastic opportunity to work as a contract Bioinformatician, for a major pharmaceutical company, on a remote basis, outside IR35. The key skills required for this Bioinformatician role are: Benchmarking somatic variant/CNV calling Genomic data analysis More ❯
"Research for a life without cancer" is our mission at the German Cancer Research Center. We investigate how cancer develops, identify cancer risk factors and look for new cancer prevention strategies. We develop new methods with which tumors can be More ❯
