Microbiome Bioinformatician – Visualization & AI Analytics

Excelra Knowledge Solutions Pvt. Ltd.; Oost-Vlaanderen; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Flexible hybrid working

International setting

Open culture and global team

Job summary

Excelra Knowledge Solutions Pvt. Ltd. in Gent, Belgium, is seeking a Microbiome Bioinformatician for visualisation and analytics on a hybrid work model.

The role combines scientific software development, microbiome data analysis, cloud infrastructure, deployment engineering, and AI-enabled user experiences. You will maintain a cloud-based R Shiny platform, support data visualization, exploratory analysis, and integration of LLM-powered interactions with microbiome datasets.

Qualifications

• PhD in bioscience-related field or MSc with 5+ years of relevant experience.
• Strong R and Shiny development experience.
• Experience building scientific or data-intensive analytical applications.
• Good understanding of AWS (S3 and ECS) and containerised deployments.
• Excellent communication and collaboration skills; ability to work independently.

Responsibilities

• Develop, maintain, and enhance an internal R Shiny application for microbiome analytics.
• Create interactive plots, tables, and exploration features.
• Manage AWS backend (S3), ECS deployment and container issues.
• Integrate AI features and support deployment of AI-powered tools.
• Collaborate with scientists to translate requirements into software features.

Skills

R programming

Shiny development

Data visualization

Bioinformatics experience

Cloud computing

Education

PhD in bioscience etc.

MSc with 5+ years experience

Tools

AWS

Docker

Seven Bridges

Shiny

Job description

Excelra Knowledge Solutions Pvt. Ltd. in Gent, Belgium, is seeking a Microbiome Bioinformatician for visualisation and analytics on a hybrid work model.

The role combines scientific software development, microbiome data analysis, cloud infrastructure, deployment engineering, and AI-enabled user experiences. You will maintain a cloud-based R Shiny platform, support data visualization, exploratory analysis, and integration of LLM-powered interactions with microbiome datasets.