Python разработчик

EPAM Systems is a global provider of digital platform engineering and software development services. The company specializes in delivering complex technology solutions, consulting, and design services to clients across various industries, including life sciences and healthcare.

• 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;
• 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;
• Collaborate with bioinformaticians, computational biologists, data scientists, and domain experts to implement technical solutions;
• Facilitate technical improvements, review code, and ensure high-quality documentation and maintainability;
• Enhance AI components within client solutions and in-house platforms;
• 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, driving innovation within projects and teams.

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

• Opportunity to work abroad for up to two months per year;
• Relocation opportunities within offices in 55+ countries;
• Corporate and social events;
• Leadership development, career advising, soft skills and well-being programs;
• Certifications (GCP, Azure, AWS);
• Unlimited access to LinkedIn Learning and Udemy;
• Free English classes with certified teachers;
• Monetary bonuses for referral program;
• Medical and family care package;
• Six trust days per year (sick leave without a medical certificate);
• Coverage of psychology sessions;
• Discounts for fitness clubs and sports programs;
• Benefits package (sports activities, variety of stores and services).