Python Scientific Informatics Engineer

EPAM Systems; Turkey; On-site; TRY 2,917,000 - 4,375,000; Full time

Benefits offered by this job

Private health insurance

Learning platform access

English courses

Mentoring programs

Extra leave days

Job summary

EPAM Systems is seeking a Bioinformatics Scientist for a leading global pharmaceutical client to design and optimize computational methods for large-scale NGS analysis. You will build production-grade workflows for HPC and cloud environments and collaborate with biologists and data scientists across oncology, immunology, and neuroscience.

You will develop scalable pipelines, evaluate new algorithms, and deliver reproducible analyses with clear documentation and scientific reports.

Qualifications

• PhD with 1+ year experience or MSc with 5+ years in bioinformatics.
• Experience processing NGS datasets (WGS, WES, RNA-seq, ChIP-seq, ATAC-seq, single-cell).
• Proficient in workflow scripting (Nextflow) and Unix/Linux.
• Strong genomics algorithm knowledge: alignment, assembly, variant calling.
• Familiar with FASTA/FASTQ/BAM/VCF formats.
• Proficient in Python, R, or C++.
• Experience with HPC clusters and cloud platforms.
• Excellent communication and collaboration; English B2+.
• Proven scientific publications.

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

Skills

NGS analysis

Nextflow

Python/R/C++

HPC/Cloud

Scientific publication

Collaboration

English proficiency

Education

PhD in Bioinformatics

MSc in related field

Tools

Nextflow

Linux

Job description

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)