Python Scientific Informatics Engineer

Our client, a leading global pharmaceutical company, is seeking a highly skilled and motivatedBioinformatics 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