Find Data science_ ml Jobs in Dublin, D

Research Scientist: Machine Learning for Drug Discovery and Genomic Data
Accenture —Dublin, County Dublin
- Full-time
- Doctoral degree
- Computer Science
- English
Data Scientist
Allianz —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Master's degree
Data and AI Analyst
Fortray Global Services Ltd —Dublin, County Dublin
- Up to €40,000 a year
- Full-time
- Azure
- Computer Science
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Data Scientist
CarTrawler —Dublin, County Dublin
- Hybrid work
- Doctoral degree
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Practice Lead - Data Science_ ML
Infosys —Dublin, County Dublin
- Azure
- Doctoral degree
- Marketing
Research Engineer: Machine Learning and Knowledge Representation for Biodata
Accenture —Dublin, County Dublin
- Full-time
- Computer Science
- English
- Research
Data Analyst
iCIMS Talent Acquisition —DUBLIN 2, County Dublin
- Full-time
- Azure
- Computer Science
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- Annual leave
- Life insurance
Data Analyst
iCims —DUBLIN 2, County Dublin
- Full-time
- Azure
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- Data analysis skills
- Annual leave
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Senior Data Scientist
LexisNexis Risk Solutions —Dublin, County Dublin
- €68,400–€114,000 a year
- Full-time
- Azure
- SQL
- No degree
Biological Structures Data Engineer I/II
Iambic Therapeutics, Inc —Dublin, County Dublin
- Full-time
- Hybrid work
- Doctoral degree
- Engineering
- AWS
7d
Newly/Nearly qualified actuary
AXA —DUBLIN 1, County Dublin
- SQL
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- Python
3d
AI Analysis & Performance Analyst
TikTok —Dublin, County Dublin
- Master's degree
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10d
Data Engineer
Kitman Labs —Dublin, County Dublin
- Full-time
- Hybrid work
- SQL
- AWS
- AI
Senior Data Scientist
Outmin Ltd —Dublin, County Dublin
- Full-time
- Hybrid work
- Engineering
- Accounting
- Communication skills
Quick apply
Senior Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- System design
- Master's degree
- Referral programme
Principal Data Scientist
Optum —Dublin, County Dublin
- Full-time
- Computer Science
- Research
- Master's degree
Machine Learning Systems Engineer
Tether Operations Limited —Dublin, County Dublin
- Full-time
- Remote
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- System design
Senior Data Scientist
Verve —Dublin, County Dublin
- Doctoral degree
- Master's degree
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9d
Principal Data Scientist - Network Analytics & AI Enablement
Optum —Dublin, County Dublin
- Full-time
- Doctoral degree
- Master's degree
- SQL
Lead Data Analytics & AI Engineer
ResMed —Dublin, County Dublin
- Computer Science
- System design
- Master's degree
- Referral programme
1d

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Research Scientist: Machine Learning for Drug Discovery and Genomic Data

Accenture -
Dublin, County Dublin

Apply Now

Job details

Full-time

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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data science_ ml jobs in dublin, d

Research Scientist: Machine Learning for Drug Discovery and Genomic Data

Data Scientist

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Practice Lead - Data Science_ ML

Research Engineer: Machine Learning and Knowledge Representation for Biodata

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Newly/Nearly qualified actuary

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Senior Data Scientist

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Principal Data Scientist

Machine Learning Systems Engineer

Senior Data Scientist

Principal Data Scientist - Network Analytics & AI Enablement

Lead Data Analytics & AI Engineer

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