Data Scientist
Role details
Job location
Tech stack
Job description
As Data Scientist, you join a passionate and fast-growing biotech company in which you will work in a team investigating and contributing to the development of innovative algorithms for the early detection of cancer. You will be involved in a company that wants to have a huge positive impact on society by achieving the ambitious purpose of "making cancer a curable disease by detecting it earlier". DUTIES AND RESPONSIBILITIES
- Think about and conceptualize signal processing, mathematics and statistics-related problems and challenges in the early cancer detection field
- Create innovative algorithms that use signal processing to tackle genomic features as temporal-domain series
- Study, experiment and investigate technological fields such as artificial intelligence and robotics
- Analyze and interpret molecular, analytical, and clinical data in the context of early cancer detection and identification of molecular signatures across various types and stages of cancer
- Contribute into model, code, and software improvement, and subsequently plan, scope, and execute associated research with a team of bioinformaticians, data scientists and software engineers
Requirements
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MSc or equivalent experience in a relevant field such as Biomedical Engineering, Telecommunications Engineering, Statistics or Applied Mathematics with a Signal Processing specialty
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3+ years post-study experience applying spatio-temporal signal processing algorithms for research and/or product development, ideally in industry
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Deep knowledge of signal processing fundamentals, application to biomedical signal (e.g., EEG, ECG) is a plus
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Proficiency in Linux environment and bash
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Experience in the analysis of high-throughput, quantitative technologies in genomics, epigenomics, proteomics, or transcriptomics (e.g., Hi-C, ATAC-seq, RNA-seq, MS) is a plus
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Ability to generate tested production-ready code, version-controlled with Git
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Excellence with computational and statistical programming, including parallelization and code optimization with Python and R
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Ability to work with Big Data VALUABLE SKILLS
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Attention to detail
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Knowledge and experience with time management and timeline development
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Flexibility
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Strong oral and written communication skills in English