Python Scientific Informatics Engineer

About the Position

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
  • 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
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)