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concepts Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in
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highly desirable. Proficiency in programming languages such as Python or C++. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and advanced data analysis tools. Excellent problem
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biomedical or patient-specific streams such as CGM readings, insulin logs, and digital health platforms—is highly valued. The role also requires solid Python development skills and familiarity with tools
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dynamics. Strong Python programming skills with frameworks such as PyTorch, TensorFlow/Keras, and scientific data tools are required, as well as familiarity with large-scale biomedical datasets. A solid
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data analytics concepts, including data cleaning, analysis, and visualization. Guide learners in the use of industry-standard tools such as spreadsheets, SQL, Tableau, Power BI, R, or Python, as
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is not mandatory. Candidates should be able to demonstrate the following skills and experience: Strong AI/ML engineering capability: Proficient in Python with strong software engineering practices
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Proficiency in R and Python Experience with cancer genomics, single-cell RNA-seq and/or ATAC-seq analysis (strongly preferred) Ability to work independently as well as collaboratively in an interdisciplinary
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European Molecular Biology Laboratory (EMBL) | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
barcoding methods Advanced fluorescence microscopy and image analysis Automation or liquid handling Python or R Next-generation sequencing technologies Why join us at the GenTechDev Open Lab You will help
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computer science. demonstrable programming skills (e.g., Python, R) and experience handling spatial datasets. experience of probabilistic modelling, geostatistics, or machine learning. ability to work independently
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, IAM, Lambda) Solid backend skills in Python, Node.js, or similar Experience with relational and non-relational databases - both managing and migrating them Comfortable working with AI-assisted codebases