Find Process scientist/engineer Jobs in Dublin, D

Research Engineer: Machine Learning and Knowledge Representation for Biodata
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Research
Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Insight Analyst
Primark —Dublin, County Dublin
- Sales
- Data analysis skills
- SQL
4d
Graduate Environmental Scientist / Planner
Roughan & O'Donovan —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
14d
Software Engineer, Platform - Dublin, Ireland
Speechify —Dublin, County Dublin
- €30,000–€120,000 a year
- Remote
- Azure
- Doctoral degree
- AWS
6d
Sr Machine Learning Engineer
paypal —Dublin, County Dublin
- Full-time
- Azure
- Java
- Master's degree
- Annual leave
Data Scientist II
AXA —DUBLIN 1, County Dublin
- Azure
- Engineering
- Master's degree
R&D Technical Consultant
CBTax —Dublin, County Dublin
- Analysis skills
- In-person
Quick apply
Software Engineer, iOS Core Product - Dublin, Ireland
Speechify —Dublin, County Dublin
- €30,000–€120,000 a year
- Remote
- Doctoral degree
- Communication skills
13d
Applied Scientist, AI Ops Integration
Amazon EU SARL, Irish Branch —Dublin, County Dublin
- Full-time
- Doctoral degree
- Java
- Master's degree
13d
Senior Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Master's degree
- AWS
- Bachelor's degree
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
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Reporting Manager:Rail projects
AECOM —Dublin, County Dublin
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Senior QA Automation Engineer (AI-First)
Storyful —Dublin, County Dublin
- Full-time
- Master's degree
- SQL
- AWS
Principal Cybersecurity Data Engineer
Workday —Dublin, County Dublin
- €104,000–€156,000 a year
- Full-time
- Master's degree
- SQL
- AWS
3d
Sr Applied Scientist
2K —Dublin, County Dublin
- Doctoral degree
- Master's degree
- SQL
Quick apply
Senior Validation Engineer
AstraZeneca —Dublin, County Dublin
- Engineering
- Assembly
- Project management
13d
Renewables Portfolio Lead Ireland
AECOM —Dublin, County Dublin
- Full-time
- Hybrid work
- Engineering
- Business development
- Bachelor's degree
Data Engineer
Primark —Dublin, County Dublin
- Azure
- SQL
- Analysis skills
4d
FaST Product Install Engineer - Europe
KLA —Dublin, County Dublin
- Full-time
- Software troubleshooting
- Engineering
- Windows
- Employee stock purchase plan
- Annual leave

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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

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Refine Your Search

process scientist/engineer jobs in dublin, d

Research Engineer: Machine Learning and Knowledge Representation for Biodata

Staff Software Engineer, Inference

Insight Analyst

Graduate Environmental Scientist / Planner

Software Engineer, Platform - Dublin, Ireland

Sr Machine Learning Engineer

Data Scientist II

R&D Technical Consultant

Software Engineer, iOS Core Product - Dublin, Ireland

Applied Scientist, AI Ops Integration

Senior Software Engineer, Inference

Data Engineer

Reporting Manager:Rail projects

Senior QA Automation Engineer (AI-First)

Principal Cybersecurity Data Engineer

Sr Applied Scientist

Senior Validation Engineer

Renewables Portfolio Lead Ireland

Data Engineer

FaST Product Install Engineer - Europe

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