Research Engineer

2w2 weeks ago

Accenture

Dublin, IE · Full-time · €75,000 – €105,000

About this role

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, focusing on Artificial Intelligence, Bioinformatics, and Computational Chemistry with strong emphasis on Machine Learning for life sciences. The lab is co-located with The Dock, Accenture's global center for innovation.

Design and implement AI research prototypes for life sciences, including genomic medicine and computational chemistry. Develop and implement machine learning models for de novo molecule generation and property prediction. Design and optimize deep learning architectures like graph machine learning and transformers for molecular optimization.

Collaborate with research scientists and engineers to turn experimental methods into full-fledged prototypes. Build data ingestion pipelines to process large-scale biochemical and multi-omics datasets such as SMILES, PDB, genomics, and clinical records. Integrate domain knowledge from subject matter experts into AI models and interpret results.

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. Stay on top of the latest advancements in AI for drug discovery and computational chemistry. Write clean, well-documented code in a team-oriented environment.

Requirements

MSc in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, Computational Chemistry, Computational Genomics, or equivalent industry experience
Strong Machine Learning and Deep Learning foundations
Solid Python and Scientific Python programming skills (e.g., NumPy) and Machine Learning frameworks such as PyTorch
Prior hands-on experience with AI/ML research prototypes design and development
Proven knowledge of parallel computing techniques for Python and GPU acceleration
Solid experience with data engineering, data ingestion, relational databases management, SQL
Working knowledge of Linux OS, shell scripting
Hands-on experience with git and popular issue tracking systems

Responsibilities

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 into full-fledged prototypes
Develop and implement machine learning models for de novo molecule generation and property prediction
Design and optimize deep learning architectures (e.g., graph machine learning, transformers) for molecular optimization
Design and implement 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
Collaborate with subject matter experts to integrate domain knowledge into AI models and interpret results
Stay on top of the latest advancements in AI/machine learning, AI for drug discovery, computational chemistry