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Research Scientist: Machine Learning for Drug Discovery and Genomic Data
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- English
3h
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Crusoe —Dublin, County Dublin
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ReliaQuest, LLC. —Dublin, County Dublin
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Amazon Data Services Ireland Limited —Dublin, County Dublin
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Seapoint —Dublin, County Dublin
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Telnyx —Dublin, County Dublin
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Guidewire Software —Dublin, County Dublin
- Weekend availability
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Senior kdb+ Engineer
Data Intellect —Dublin, County Dublin
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14d
Senior Database Reliability Engineer
MUFG Investor Services —Dublin, County Dublin
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Arista Networks —Dublin, County Dublin
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Millennium Management —Dublin, County Dublin
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Microchip Technology —Dublin, County Dublin
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Lead, Platform Engineer
Mastercard —Dublin, County Dublin
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Senior Software Engineer - Site Reliability
Workday —Dublin, County Dublin
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Protex AI —Dublin, County Dublin
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Amazon Development Centre Ireland Limited —Dublin, County Dublin
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eBay Inc. —Dublin, County Dublin
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Guidewire Software —Dublin, County Dublin
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Lead Guild Security Engineer
Mastercard —Dublin, County Dublin
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Research Scientist: Machine Learning for Drug Discovery and Genomic Data

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time
3 hours ago

Qualifications

Data modelling
Doctoral degree
Computer Science
EHR systems
Relational databases
NumPy
Git
English
Research
SQL
Computer Engineering
Scripting
Django
Linux
AI
Communication skills
Graph databases
Python

Full job description

Research Scientist: Machine Learning for Drug Discovery and Genomic Data

Location: Dublin, Ireland

Team: Accenture Labs Bioinnovation

Level: CL8

Type: Full-time, on-site (hybrid)

About: This is an opportunity to play a key 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 peer 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, and property prediction (small molecules and biologics)
Design and optimize deep learning architectures for molecular generation and optimization (e.g., graph machine learning, transformers, diffusion models).
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, and bioinformatics.
Write clean, well-documented code.

Required qualifications and skillset:

PhD 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
Excellent verbal and written communication in English

Optional skillset:

Practical experience with LLMs (frontier API-based and self-hosted/open-weight), including retrieval-augmented generation and in-context learning, PEFT (e.g., LoRA/QLoRA), and building agentic workflows.
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, bioinformatics or computational chemistry space.

#LI-EU

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linux engineer jobs in dublin, d

Research Scientist: Machine Learning for Drug Discovery and Genomic Data

Solutions Engineer (Dublin)

GreyMatter Specialist

System Development Engineer, ESC

Senior Infrastructure Engineer - Dublin

Mobile Core Network Engineer

Cloud Platform Support Engineer III

Senior kdb+ Engineer

Senior Database Reliability Engineer

POC Engineer

Application Security Engineer

Senior/Principal Corporate Applications Engineer

Lead, Platform Engineer

Senior Software Engineer - Site Reliability

Infrastructure Engineer, Edge & Security

Staff Platform Engineer

Senior Network Development Engineer, GCNA

Senior Storage Software Engineer

Site Reliability Engineer III

Lead Guild Security Engineer

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