Note: The job is a remote job and is open to candidates in USA. EPAM Systems is seeking a skilled Senior AI Python Engineer to join their Life Sciences and Healthcare projects, focusing on bioinformatics and data-driven solutions. This role involves developing cloud-native platforms for processing large-scale biomedical data and supporting research and drug development in collaboration with global pharmaceutical and healthcare companies.
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, actively driving innovation within projects and teams
Skills
- 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
Benefits
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning and Udemy
- Free English classes with certified teachers
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)
- Discounts in local language schools, including online courses for the Kazakh language
- Six trust days per year (sick leave without a medical certificate)
- Coverage of psychology sessions of your choice
- Benefits package (sports activities, a variety of stores and services)
- Housing support program: preferential mortgage access via Otbasy Bank partnership
- Discounts for fitness clubs and sports programs
- Five trust days per year (sick leave without a medical certificate)
- Unlimited access to LinkedIn Learning and Get Abstract
- Seven trust days per year (sick leave without a medical certificate)
- Discounts from 800+ partners (sports activities, restaurants, stores and services)
- Discounts in local language schools, including offline courses for the Uzbek language
- Discounts for fitness clubs, dance schools and sports programs
Company Overview
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