Senior AI Python Engineer - Life Sciences & Genomics

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

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.