AI Scientist, Genomics & Molecule Design

Accenture PLC; Dublin; Hybrid; EUR 90,000 - 150,000; Full time

Job summary

Accenture Labs Bioinnovation in Dublin, Ireland, seeks a PhD-level researcher to design and implement AI prototypes for life sciences, including bioinformatics and computational chemistry. You will collaborate across scientists and engineers to turn experimental methods into demonstrator prototypes and contribute to open science.

The role emphasizes scalable ML models, multi-omics data integration, and staying at the forefront of AI-driven drug discovery.

Qualifications

• PhD in CS/Bioinformatics or equivalent industry experience.
• Strong ML and DL foundations.
• Proficient Python programming with NumPy and PyTorch.
• Experience designing AI/ML research prototypes.
• Knowledge of parallel computing and GPU acceleration.
• Data engineering, SQL, and Linux experience.
• Git and issue-tracking tools familiarity.
• Excellent English communication.

Responsibilities

• Design and implement AI research prototypes for life sciences.
• Collaborate with researchers to turn methods into prototypes.
• Develop ML models for de novo molecule generation and property prediction.
• Design deep learning architectures for molecular generation.
• Ingest and analyze large-scale multi-omics datasets.
• Present results to technical and lay audiences.
• Propose new research directions aligned with team strategy.

Skills

Machine Learning

Deep Learning

Communication (English)

Problem Solving

Teamwork

Education

PhD in CS / Bioinformatics / Computational Biology

Tools

Python

NumPy

PyTorch

SQL

Linux

Git

Job description

Accenture Labs Bioinnovation in Dublin, Ireland, seeks a PhD-level researcher to design and implement AI prototypes for life sciences, including bioinformatics and computational chemistry. You will collaborate across scientists and engineers to turn experimental methods into demonstrator prototypes and contribute to open science.

The role emphasizes scalable ML models, multi-omics data integration, and staying at the forefront of AI-driven drug discovery.