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 assignments and projects
- 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 Eurostaffs 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
- WORKING ENVIRONMENT
- Recreation office zones with tea, coffee and snacks
- Sports and game consoles
- IT equipment and Microsoft's Software Assurance Home Use Program (HUP)
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. We deliver globally and engage locally, making the future real for clients, partners, and employees. We are proud to be recognised by Forbes, Eurostaffs, Newsweek, Time Magazine, Great Place to Work and kununu as a Most Loved Workplace around the world.
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