Python Scientific Informatics Engineer

Our client, a leading global pharmaceutical company, is seeking a highly skilled and motivated Bioinformatics Scientist to join their international research organization, driving innovation across multiple therapeutic areas. In this role, you will design, evaluate, and optimize computational methods for large-scale next-generation sequencing (NGS) analysis, contributing directly to discovery and development programs. You will build robust, production-grade bioinformatics workflows for high-performance computing (HPC) clusters and cloud environments, collaborating closely with biologists, data scientists and domain experts across Oncology, Immunology, Infectious Diseases & Vaccines, Neuroscience and Pharmacokinetics.

Responsibilities

• Develop, benchmark and optimize computational methods to analyze diverse NGS datasets
• Build and maintain scalable, automated bioinformatics pipelines for HPC and cloud-based execution
• Partner with interdisciplinary scientific teams to translate research needs into reproducible analytical workflows
• Evaluate and implement new algorithms, tools and computational strategies to enhance data processing capabilities
• Produce clear technical documentation, reports and scientific deliverables

Requirements

• PhD with 1+ year of experience in bioinformatics, or MSc with 5+ years of relevant experience
• Hands-on experience in processing NGS datasets (WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, single-cell, etc.)
• Practical experience with workflow/pipeline scripting languages (e.g., Nextflow)
• Strong understanding of computational methods for alignment, assembly, variant detection, enrichment or related genomics applications
• Familiarity with common bioinformatics file formats (FASTA, FASTQ, BAM, VCF, etc.)
• Proficiency in Python, R or C++ within a Unix/Linux environment
• Experience with high-performance computing clusters and cloud computing platforms
• Ability to independently troubleshoot using documentation, GitHub and online resources
• Proven scientific publication record
• Strong collaboration, communication and interpersonal skills
• Excellent written and spoken English (B2 level or higher)

Nice to have

• Experience with containerization technologies, such as Docker or Singularity
• Experience in the application or optimization of machine learning tools within a bioinformatics context

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.