Research Engineer: Machine Learning and Knowledge Representation for Biodata
Dublin, 1 Grand Canal Square, Ireland
EUR 45K-57K (estimate) Mid-level Full Time
Tasks
- Build data ingestion pipelines for biochemical and multi omics datasets
- Collaborate with research scientists to develop prototypes
- Design and implement AI research prototypes for life sciences
- Design and optimize deep learning architectures for molecular generation
- Develop machine learning models for molecule generation and property prediction
- Implement prototypes for insights from multi omics data
- Integrate domain knowledge into AI models and interpret results
- Stay current with AI machine learning advancements
- Write clean, well-documented code
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Context learning | Data Engineering | Deep learning | Diffusion Models | Django | EHR | FASTQ | Flask | GPU Acceleration | Genomics | Git | Graph Machine Learning | In-context Learning | Language Models | Large Language Models | Linux | LoRA | Machine Learning | Multi-Omics | NumPy | OWL | PDB | PEFT | Parallel Computing | Prefect | Proteomics | PyTorch | Python | QLoRA | RDF | RDFS | Relational databases | Retrieval | Retrieval-Augmented Generation | SMILES | SPARQL | SQL | Shell Scripting | Transcriptomics | Transformers | Triplestore | VCF | Workflow Orchestration
Education
N/A
Roles
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