Senior AI Python Engineer – Life Sciences Domain

EPAM is looking for an experiencedSenior AI Python Engineer to join our Life Sciences and Healthcare projects, with a strong focus on bioinformatics and data-driven solutions.

This role is ideal for engineers who want to apply Python, AI, and advanced analytics to real-world biological and biomedical challenges.

You will contribute to impactful projects for global pharmaceutical, biotech, and healthcare companies, supporting solutions in bioinformatics, computational biology, genomics, and AI-driven drug discovery. In this role, you will participate in designing and implementing scalable, cloud-native platforms that process biomedical data, support research and drug development, and enable data-driven decision-making in regulated environments.

Responsibilities

• Contribute to creating cloud-native, AI-driven solutions for Life Sciences using Python
• Assist with building and optimizing 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
• Keep informed about advancements in Life Sciences, AI, and cloud technologies, applying new approaches in projects

Requirements

• 3+ years of experience in Python software engineering, along with practical exposure to Life Sciences, Healthcare, Bioinformatics, Computational Biology, or related domains
• Proficiency in Python and modern web/API frameworks (Django, Flask, FastAPI)
• Experience with scientific and analytical Python libraries (NumPy, Pandas, SciPy, scikit-learn) and/or a relevant M.Sc. or Ph.D. in Bioinformatics, Computational Biology, or a related quantitative field
• Exposure to handling biological, biomedical, or clinical data, including NGS, transcriptomics, proteomics, multi-omics, or genomic data formats (FASTQ, BAM, VCF)
• Familiarity with integrating AI / ML models into production systems in data-intensive or regulated contexts
• Strong understanding of software design principles, data structures, and algorithms
• Hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Strong analytical and problem-solving skills, with the ability to contribute to technical discussions and solution design
• Excellent communication skills and experience working in cross-functional, international teams
• Fluency in English (both written and spoken) at a minimum B2 level