Python Scientific Informatics Engineer

Remote • Posted 60+ days ago • Updated 2 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Informatics
  • Pharmaceutics
  • Innovation
  • Next Generation Sequencing
  • Immunology
  • Neuroscience
  • HPC
  • Research
  • Analytical Skill
  • Algorithms
  • Data Processing
  • Technical Writing
  • MSC
  • RNA
  • Integrated Circuit
  • Workflow
  • Scripting
  • Assembly
  • Genomics
  • File Formats
  • Python
  • R
  • C++
  • Unix
  • Linux
  • High Performance Computing
  • Cloud Computing
  • Documentation
  • GitHub
  • Collaboration
  • Communication
  • English
  • Docker
  • Machine Learning (ML)
  • Bioinformatics

Summary

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 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 Nice to have Experience with containerization technologies (Docker, Singularity) Experience applying or optimizing machine learning tools in a bioinformatics context
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: a507a4ed3e945b383987fd7f82c80308
  • Posted 30+ days ago
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