Principal Scientist (Comp. Bio/ML) - Genomics

Asks for

• BioinformaticsThe ad says“PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on Genomics + ML, and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying ML to Genomics problems”
• Classical MLThe ad says“Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML)”
• Diffusion modelsThe ad says“Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML)”
• GenomicsThe ad says“PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on Genomics + ML, and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying ML to Genomics problems”
• LeadershipThe ad says“Leadership experience with small teams to work towards defined roadmaps or projects”
• Machine LearningThe ad says“PhD in Computational Biology, Machine Learning, Bioinformatics, or a related field, with a strong focus on Genomics + ML, and 2+ years of industry (non-academic) experience OR MSc in a relevant field and 5+ years of industry experience applying ML to Genomics problems”
• PyTorchThe ad says“Hands-on experience with modern ML frameworks such as PyTorch (or equivalent)”
• TransformersThe ad says“Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML)”
• VAEsThe ad says“Strong understanding of ML/AI methods for biological data (e.g., transformers, VAEs, diffusion models, classical ML)”