Genomics Software Engineer for GWAS Platform

Vrije Universisteit; Amsterdam; On-site; EUR 41,000 - 64,000; Full time

Benefits offered by this job

8% holiday allowance

8.3% end-of-year bonus

commuting expenses

ABP pension

personalized benefits package

Job summary

Vrije Universiteit Amsterdam’s CNCR Complex Traits Genetics group seeks a Scientific Programmer to contribute to FUMA, a widely used GWAS interpretation web tool. You will help develop and maintain analysis modules and visualizations, integrating large biological datasets and keeping reproducible workflows in a collaborative environment.

The role involves software engineering for a research platform, with opportunities to influence data infrastructure, user-facing visualizations, and scalable

Qualifications

• Master's degree in Computer Science, Bioinformatics, Computational Biology, or related field.
• Strong programming skills in Python and/or R.
• Experience with Git version control.

Responsibilities

• Develop and implement existing and new analysis modules and visualizations within FUMA, including integration of statistical pipelines.
• Integrate large-scale biological reference datasets for FUMA (molecular QTLs, chromatin interaction, functional annotation, single-cell data).
• Maintain and improve production infrastructure (dependencies, databases, Linux servers, job scheduling, storage, pipelines).
• Optimize performance, scalability, and reliability of the web platform and backend pipelines.
• Ensure reproducible workflows for preprocessing, harmonizing, and updating datasets.
• Resolve bugs, improve code quality, modernize components as needed.
• Provide user support to researchers worldwide.

Skills

Python

R

Git

Linux

SQL

English

Education

Master's degree in Computer Science, Bioinformatics, Computational Biology, or related field

Tools

Laravel

JavaScript

PHP

Job description

Vrije Universiteit Amsterdam’s CNCR Complex Traits Genetics group seeks a Scientific Programmer to contribute to FUMA, a widely used GWAS interpretation web tool. You will help develop and maintain analysis modules and visualizations, integrating large biological datasets and keeping reproducible workflows in a collaborative environment.

The role involves software engineering for a research platform, with opportunities to influence data infrastructure, user-facing visualizations, and scalable