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 applying or optimizing machine learning tools within a bioinformatics context
• 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 and the LinkedIn Learning library with 20,000+ 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
• Well-being events
• Sports equipment and game consoles
• IT Equipment
• Microsoft's Software Assurance Home Use Program (HUP)
• 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.

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