Senior AI Python Engineer – Life Sciences Domain

EPAM is seeking a skilled Senior AI Python Engineer to join our Life Sciences and Healthcare projects, focusing on bioinformatics and data-driven solutions.
This role is well-suited for engineers passionate about using Python, AI, and analytics to address challenges in biology and biomedicine.
You will contribute to impactful projects with global pharmaceutical, biotech, and healthcare companies, working on solutions in bioinformatics, computational biology, genomics, and AI-enhanced drug discovery. You will participate in developing cloud-native platforms to process large-scale biomedical data, support research and drug development, and enable data-driven decision-making in regulated settings.
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
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
We offer
We connect like-minded people:
Delivering innovative solutions to industry leaders, making a global impact
Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
Opportunity to work abroad for up to two months per year
Relocation opportunities within our offices in 55+ countries
Corporate and social events
We invest in your growth:
Leadership development, career advising, soft skills and well-being programs
Certifications, including GCP, Azure and AWS
Unlimited access to EPAM's internal learning database
Free English classes with certified teachers
We cover it all:
Monetary bonuses for engaging in the referral program
Medical & family care package
Six trust days per year (sick leave without a medical certificate)
Coverage of psychology sessions of your choice
Discounts for fitness clubs and sports programs
Benefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.
LI-TZ1

Work arrangement
Yes