Senior AI Python Engineer – Life Sciences Domain

EPAM Systems; Turkey; On-site; TRY 4,375,000 - 6,320,000; Full time

Benefits offered by this job

Continuous upskilling

Private health insurance

English courses

Job summary

EPAM Systems is seeking a Senior AI Python Engineer to advance cloud-native AI solutions for Life Sciences, focusing on bioinformatics, genomics, and data-driven drug discovery. You will design scalable platforms to process biomedical data and enable data-driven decisions in regulated environments.

The role requires strong Python expertise, experience with scientific libraries, and collaboration across international teams. Proficiency in cloud platforms and modern web frameworks is essential.

Qualifications

• 3+ years of Python software engineering in Life Sciences, Healthcare or related fields.
• Experience with scientific Python libraries and data formats (NGS, transcriptomics, genomics).
• Exposure to integrating AI/ML models into production in regulated environments.

Responsibilities

• Create cloud-native, AI-driven Life Sciences solutions using Python.
• Build and optimize data pipelines for large-scale biological datasets.
• Integrate Generative AI (LLMs, RAG) into bioinformatics workflows.
• Work with cross-functional teams to implement scientific requirements.
• Review code and maintain documentation for reliability and reproducibility.
• Improve AI components in EPAM platforms following best practices.
• Address data scale, security, and performance challenges in life sciences apps.
• Keep updated on advances in Life Sciences, AI, and cloud technologies.

Skills

Python

Life Sciences

Bioinformatics

Cloud platforms

Data pipelines

Generative AI

LLMs

RAG

Genomics

Django

Education

M.Sc. or Ph.D. in Bioinformatics

Tools

AWS

Azure

GCP

NumPy

Pandas

SciPy

Job description

Senior AI Python Engineer

EPAM is looking for an experienced Senior 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

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
• Diversity of tasks and projects
• Assessment center for objective review of competency level
• Personal development plan
• Mentoring programs and leadership development
• Certification and professional development support
• Access to learning platforms including more than 2,500 internal courses
• English courses taught by certified teachers
• CORPORATE BENEFITS
• Extra leave days
• Referral bonuses
• COMPENSATION PACKAGE
• Competitive compensation paid in USD
• Regular salary and performance reviews
• MEDICAL & HEALTHCARE
• Private health insurance
• Well-being events
• WORKING ENVIRONMENT
• Recreation areas and kitchens
• Tea, coffee and snacks
• Sports equipment and game consoles
• IT Equipment
• Microsoft's Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

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.

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