Find Science Jobs in Leopardstown, D

Research Engineer: Machine Learning and Knowledge Representation for Biodata
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Research
Senior Medical Scientist - Andrology
Coombe Hospital —Dublin, County Dublin
- €68,687–€90,688 a year
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AI Research Engineer/Scientist (OpenVINO, NNCF)
Intel —Leixlip, County Kildare
- €76,900–€120,100 a year
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Intel —Leixlip, County Kildare
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Regional Environmental Engineer, Environmental
Amazon Data Services Ireland Limited —Dublin, County Dublin
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- Master's degree
- AWS
- Bachelor's degree
Territory Manager in Training -Life Science
Ecolab Inc. —Dublin, County Dublin
- Full-time
- Customer service
- English
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Field Service Representative
Ecolab Inc. —Clonee, County Meath
- Full-time
- Microsoft Office
- Plumbing
- Mechanical knowledge
- Employee stock purchase plan
Forward Deployed Engineering Manager, Generative AI, Google Cloud
Google —Dublin, County Dublin
- €186,000–€191,000 a year
- Full-time
- Spanish
- Microsoft Excel
- Doctoral degree
10d
Principal, Life Sciences Commercial Strategy - London or Dublin
Gate One —Dublin, County Dublin
- Hybrid work
- Business development
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CMO Relationship Manager (Supply Chain)
Bausch + Lomb —Dublin, County Dublin
- Engineering
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AstraZeneca —Dublin, County Dublin
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Trainee Physicist SLRON06851
Health Service Executive —South Dublin, County Dublin
Environmental Assurance Lead
Ramboll —Swords, County Dublin
- Full-time
- Continuous improvement
- No degree
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- Annual leave
Quick apply
13d
Senior Estimator - Life Sciences
Jacobs —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
- Master's degree
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3d
Quantum Error Correction Lead / Senior Quantum Error Correction Scientist
Equal1 —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
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Quick apply
Senior Success Architect- Health and life Sciences Industry
Salesforce —Dublin, County Dublin
- Full-time
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Section Manager, Global Labeling Operations
AbbVie —Dublin, County Dublin
- Full-time
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2d
Environmental Health Safety Advisor
DPS Group —Leixlip, County Kildare
- English
- Master's degree
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Manager, Life Sciences - Dublin
Gate One —Dublin, County Dublin
- Hybrid work
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Commercial Portfolio Lead
Novartis —Dublin, County Dublin
- €83,800.50–€155,629.50 a year
- Full-time
- Bachelor's degree
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Research Engineer: Machine Learning and Knowledge Representation for Biodata

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

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

Full job description

Research Engineer: Machine Learning and Knowledge Representation for Biodata

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 research scientists and engineers to 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:

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.
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.
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:

Familiarity with Knowledge Graph technologies a plus, but not a hard requirement (e.g. RDF, RDFS/OWL, SPARQL, triplestores).
Hands-on experience with workflow orchestration tools (e.g., Prefect) for building ML and data pipelines.
Familiarity with common genomic data formats (e.g., FASTQ, VCF).
Experience processing Electronic Health Record (EHR) datasets.
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

Apply Now

Refine Your Search

science jobs in leopardstown, d

Research Engineer: Machine Learning and Knowledge Representation for Biodata

Senior Medical Scientist - Andrology

AI Research Engineer/Scientist (OpenVINO, NNCF)

Supply Chain Engineer

Regional Environmental Engineer, Environmental

Territory Manager in Training -Life Science

Field Service Representative

Forward Deployed Engineering Manager, Generative AI, Google Cloud

Principal, Life Sciences Commercial Strategy - London or Dublin

CMO Relationship Manager (Supply Chain)

QC Microbiology Supervisor

Trainee Physicist SLRON06851

Environmental Assurance Lead

Senior Estimator - Life Sciences

Quantum Error Correction Lead / Senior Quantum Error Correction Scientist

Senior Success Architect- Health and life Sciences Industry

Section Manager, Global Labeling Operations

Environmental Health Safety Advisor

Manager, Life Sciences - Dublin

Commercial Portfolio Lead

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