Senior AI Engineer - Life Sciences Domain

Responsibilities

• Design, architect and develop cloud-native, AI-driven solutions for Life Sciences using Python
• Build, optimize and maintain data processing pipelines for large-scale biological and biomedical datasets (genomics, transcriptomics, proteomics, clinical data)
• Support the integration and application of Generative AI solutions, including LLMs and RAG, in bioinformatics and drug discovery workflows
• Utilize computational and statistical techniques for high-throughput biological data, including sequence-based and omics data
• Collaborate with bioinformaticians, computational biologists, data scientists and domain experts to implement technical solutions based on scientific requirements
• Facilitate technical improvements, review code and ensure high-quality documentation and maintainability
• Enhance AI components within client solutions and EPAM in-house platforms while following best practices for development processes
• Tackle challenges around data scale, security and performance in computational life sciences applications
• Stay up to date with emerging trends in Life Sciences, AI and cloud technologies, with active drive of innovation within projects and teams

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