Python Scientific Informatics Engineer

EPAM Systems; Turkey; On-site; TRY 2,753,556 - 3,900,871; Full time

Job summary

EPAM Systems is looking for a highly skilled Bioinformatics Scientist to support their global research organization. You will develop and optimize computational methods to analyze next-generation sequencing (NGS) datasets while collaborating with interdisciplinary teams.

The ideal candidate will possess a PhD with relevant experience or an MSc with significant experience in bioinformatics. Proficiency in programming languages like Python, R, or C++ is essential, along with a strong publication record and interpersonal skills.

Qualifications

• 1+ year experience in bioinformatics with PhD, or 5+ years with MSc.
• Hands-on experience with NGS datasets like WGS, RNA-seq.
• Proficiency in Unix/Linux environment.

Responsibilities

• Develop and optimize computational methods for NGS analysis.
• Build automated bioinformatics pipelines.
• Evaluate new algorithms and tools for data processing.

Skills

Processing NGS datasets

Python

R

C++

Workflow scripting languages (Nextflow)

Collaboration skills

Communication skills

Education

PhD in bioinformatics or related field

MSc with 5+ years of relevant experience

Tools

Docker

Singularity

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.

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

Qualifications

• 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