Software Developer positions building Resilience Hub Plant Genomics

Join the CropXR Data Engineering team and help build resilient, sustainable, climate-adapted crops in an exciting collaboration between biologists, computational scientists, and software engineers.

CropXR (
(Use the "Apply for this Job" box below)./) is an interdisciplinary Dutch research initiative that combines cutting-edge biology, data science, and AI to accelerate the development of climate-resilient crops. We bring together academic researchers, plant breeders, and technology experts to build the Resilience Hub, a digital platform that integrates genomic, phenotypic, and environmental data to model and predict crop performance under stress conditions.

To strengthen our software and data infrastructure, we are expanding our technical team with several new engineering roles. As part of this team, you will collaborate closely with biologists, computational scientists, and software engineers to build the tools and services that make CropXR’s vision a reality.

We are hiring five software developers to collectively cover the areas below; candidates may contribute to one or more roles, fully or in part. Roles are not fixed boxes but may evolve or switch over time depending on individual strengths and interests.

You will play a key role in shaping the user experience of Resilience Hub-Web, the public and partner-facing platform of CropXR.

Responsibilities

• Develop and maintain the Resilience Hub-Web application.
• Standardize front-end components for a consistent UX.
• Integrate existing visualization tools (e.g. genome browsers, data explorers).
• Design new components such as landing pages and workflow navigation.
• Collaborate with backend and data teams to ensure performance and functionality.

Ideal profile

• Strong experience with modern web frameworks (React, Type Script).
• Familiarity with visualization libraries (e.g. D3.js, Plotly) and APIs.
• Affinity with data-driven science or bioinformatics platforms is a plus.

You will connect the systems and services powering the CropXR infrastructure.

Responsibilities

• Develop and maintain integration software linking databases, APIs, backend and web components.
• Build the Resilience Hub-CLI for advanced platform access.
• Design efficient data models and interfaces for large-scale biological data.
• Work with pipeline and Dev Ops teams on scalable services.

Ideal profile

• Experience with Python, FastAPI, or similar frameworks.
• Knowledge of REST/Graph
  
  QL APIs, Docker, and relational/non-relational databases.
• Comfortable in interdisciplinary, open-source environments.

You will build robust, reproducible pipelines supporting CropXR’s analytics.

Responsibilities

• Design and standardize pipelines for genomic, phenotypic, and environmental data.
• Implement automated ingestion, validation, and metadata workflows.
• Integrate pipelines into the Resilience Hub ecosystem.
• Translate research needs into scalable data processes.

Ideal profile

• Proficiency with workflow engines (Nextflow, Snakemake, CWL).
• Experience with data modeling, FAIR principles, and version control.
• Background in plant genomics or scientific computing is a plus.

You will safeguard the reliability, security, and quality of CropXR’s software.

Responsibilities

• Manage infrastructure, deployments, monitoring, and backups.
• Develop CI/CD pipelines and automated testing.
• Maintain software quality and documentation standards.
• Promote best practices across teams.

Ideal profile

• Experience with Linux, Docker, Kubernetes, and CI/CD tools.
• Knowledge of QA methodologies and observability tools.
• Proactive approach to automation and reliability.

• Proven software engineering experience.
• Proficiency or familiarity in Python and relevant libraries.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Proficient in English.
• A proactive, collaborative mindset.
• A completed university degree in a relevant field.
• Due to Dutch regulations, only candidates from EU countries or those with a valid Dutch work permit are eligible for this position.
• Experience with plant biology, genomics, or field phenotyping data is a plus.
• Flexible hybrid working arrangements and a collegial, mission-driven atmosphere.
• Work at the intersection of AI, biology, and sustainable agriculture.
• Collaborate with top researchers and engineers across Dutch universities and institutes.
• Contribute to open, impactful science that supports climate-resilient food systems.

To apply for the position of Data Science Engineer for DataXR, please provide the following before January 12, 2026 via the application button:

• Cover Letter: A brief (1 page) cover letter explaining your interest in the position, how your background and skills align with the job requirements, and how your profile fits with the 5 described roles.
• AI statement: A brief statement on how you used GenAI for your job application.
• Curriculum Vitae (CV):
  An up-to-date CV detailing your education, work…