Research Engineer: Machine Learning for Computational Drug Discovery and Genomic Data Analysis

About: This is an opportunity to play a key role in the Accenture Labs BioInnovation team, in Dublin Ireland.

Accenture Labs BioInnovation is the biotech research arm of Accenture Labs and focuses on Artificial Intelligence, Bioinformatics, and Computational Chemistry with a strong emphasis on Machine Learning for life sciences.

The lab is co-located with The Dock, Accenture's global center for innovation.

We design and prototype new ideas that have a strategic impact on our clients’ businesses. We offer a blend of industry-related research projects and academic-oriented activities, including an open publication policy and contribution to the open-source community.

Job Description:

• Design and implement AI research prototypes for the life sciences, including genomic medicine and computational chemistry.
• Collaborate with research scientists and engineers and turn experimental methods and their output into full-fledged prototypes to showcase the impact of our research.
• Develop and implement machine learning models for de novo molecule generation, property prediction.
• Design and optimize deep learning architectures (e.g., graph machine learning, transformers) for molecular optimization.
• Design and implements prototypes to learn insights from multi-omics data (e.g. genomics, transcriptomics, proteomics).
• Build data ingestion pipelines to process and analyze large-scale biochemical and multi-omics datasets (e.g., SMILES, PDB, proteomics, genomics, clinical records).
• Collaborate with subject matter experts to integrate domain knowledge into our AI models and interpret results.
• Stay on top of the latest advancements in AI/machine learning, AI for drug discovery, computational chemistry.
• Write clean, well-documented code.