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

Location: Dublin Ireland

Team: Accenture Labs Bioinnovation

Type: Full-time on-site (hybrid)

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 Accentures 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.

Required qualifications and skillset:

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 to optimize model training and data processing workflows.

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

Ability to work creatively and analytically in a problem-solving environment

Eagerness to contribute to a team-oriented environment

Good verbal and written communication in English

Optional skillset:

PhD in Computer Science Computer Engineering Bioinformatics Computational Biology Computational Chemistry Computational Genomics or equivalent industry experience.

Familiarity with common genomic data formats (e.g. FASTQ VCF).

Experience processing Electronic Health Record (EHR) datasets.

Familiarity with Knowledge Graph technologies a plus but not a hard requirement (e.g. RDF RDFS/OWL SPARQL triplestores Neo4j).

Expertise in back-end development (e.g. Django Flask)

Previous contributions to open-source projects in the machine learning or bioinformatics space.

Does this appeal to you If so we wish to hear from you.

Please advise if you have any particular requirements so we can look into arranging reasonable adjustments to the recruitment process. You can contact us at

Whats in it for you:

At Accenture Ireland in addition to a competitive base salary you will also have an extensive benefits package which includes pension private health insurance discounted gym membership emergency caring facilities and 2 days leave per year for charitable work of your choice! Flexible working arrangements can be discussed depending on the position.

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