Arbetsbeskrivning

EPAM is seeking a highly skilled and motivated Scientific Informatics Engineer (Bioinformatics Scientist) to join us in Sweden. In this role, you will work with our leading global pharmaceutical client as part of their international research organization, driving innovation across multiple therapeutic areas. 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/Benefits

• EPAM Employee Stock Purchase Plan (ESPP)
• Company’s pension plan
• Private healthcare insurance
• Safety & life insurance
• Gym discounts
• Wellness Grant (SEK 2000)
• Corporate Programs including Employee Referral Program with rewards
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• *All benefits and perks are subject to certain eligibility requirements

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