Senior Microbiome Bioinformatics Scientist - Hybrid Europe

Excelra Knowledge Solutions Pvt. Ltd.; Oost-Vlaanderen; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible hybrid work

International team

Ambitious vision

Job summary

Excelra Knowledge Solutions Pvt. Ltd. is hiring a Clinical Microbiome R&D Bioinformatician to develop and maintain microbiome analytics pipelines and reference resources.

You will work across the full research lifecycle, from pipeline development on the Seven Bridges platform to benchmarking and method development in a collaborative, multidisciplinary environment. The role emphasizes scalable data integration, reproducible workflows, and communicating complex results to stakeholders.

Qualifications

• Experience with microbiome sequencing data and bioinformatics workflows.
• Hands-on experience with Illumina and/or Oxford Nanopore data.
• Experience developing and maintaining bioinformatics pipelines.
• Proficient in Python, R, Bash; strong analytical skills.
• Excellent communication and collaboration abilities.

Responsibilities

• Develop and maintain CWL pipelines on the Seven Bridges platform for microbiome data.
• Build and maintain CI/CD pipelines to automate testing and deployment of workflows.
• Build and curate microbiome reference databases for host species and environments.
• Benchmark microbiome tools and assess their strengths and limitations.
• Keep up with new computational methods to improve workflows.

Skills

Python

R

Bash

Nextflow

Snakemake

Data analysis

Education

PhD in Bioscience engineering / Bioinformatics

MSc with 5+ years experience in related field

Tools

Docker

Cloud platforms

CI/CD pipelines

Seven Bridges platform

Job description

Excelra Knowledge Solutions Pvt. Ltd. is hiring a Clinical Microbiome R&D Bioinformatician to develop and maintain microbiome analytics pipelines and reference resources.

You will work across the full research lifecycle, from pipeline development on the Seven Bridges platform to benchmarking and method development in a collaborative, multidisciplinary environment. The role emphasizes scalable data integration, reproducible workflows, and communicating complex results to stakeholders.