Research Scientist: Machine Learning for Drug Discovery and 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 role 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 implement machine learning prototypes tthat 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).
- Propose novel research directions and align with the team’s strategy.
- 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. Design and execute experiments. Describe and present results to technical and lay audiences.
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
Dublin
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as applicable by law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.