Senior Software engineer, Scientific Informatics

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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