Machine Learning Intern - Computational Drug Discovery

2w2 weeks ago

Accenture

Dublin, IE · Internship · €28,000 – €35,000

About this role

Accenture Labs, the applied research and development arm of Accenture, focuses on shaping the future of technology and innovation. The Bioinnovation group explores cutting-edge computational approaches to accelerate drug discovery and improve healthcare outcomes. This 6-month internship is based in Dublin, Ireland.

You will develop and apply machine learning models to analyze large-scale genomic datasets, identifying patterns associated with disease and drug response. Explore novel computational approaches to improve target prediction pipelines and process multi-omics data including genomics, transcriptomics, and proteomics. Integrate mechanistic and machine learning methods to generate testable hypotheses for pre-clinical drug discovery.

Join a team working at the intersection of biology, data science, and AI to solve complex challenges in life sciences. Accenture combines unmatched experience and specialized skills across more than 40 industries, powered by the world’s largest network of Advanced Technology centers.

Accenture fosters an inclusive and diverse environment free from bias, supporting well-being holistically with physical, mental, and financial health resources. Opportunities include certifications, learning, and diverse work experiences to keep skills relevant. Join to work at the heart of change in a recognized World’s Best Workplace™.

Requirements

Enrollment in a PhD program in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, Systems Biology, or Computational Genomics
Strong proficiency in scientific Python programming
Solid understanding of machine learning and AI fundamentals
Foundations in bioinformatics and biology
Experience in designing and developing research prototypes
Strong verbal and written communication skills
Familiarity with academic paper creation and publication processes
Familiarity with computational chemistry (a plus)

Responsibilities

Develop and apply machine learning models to analyze large-scale genomic datasets and identify patterns associated with disease and drug response
Explore novel computational approaches to improve target prediction pipelines
Integrate mechanistic and machine learning methods to generate testable hypotheses for pre-clinical drug discovery
Process multi-omics data (genomics, transcriptomics, proteomics) to build a comprehensive understanding of disease mechanisms and drug response
Design and develop research prototypes for computational biology applications

Benefits

Opportunities to keep skills relevant through certifications, learning, and diverse work experiences
Holistic support for physical, mental, and financial health
Inclusive and diverse workplace free from bias where everyone feels belonging
Recognized as one of the World’s Best Workplaces™