To expand our Data DevOps Team and to help drive our business we are looking for a:
Scientific Software Engineer
To help decision making in our hybrid potato breeding program, we use large amounts of data and innovative models. As we are expanding our activities, we're committed to enhancing the quality and scalability of our software.
The primary focus of this position is to elevate our prototype software and pipelines into robust production systems, ensuring high quality and maintainability. The scientific software engineer is responsible for spearheading, developing, and maintaining our in-house production software and data analysis pipelines. This is done from a growing team of four software and data engineers.
Responsibilities:
As an experienced software engineer, you will work with the data science, bioinformatics and breeding team to turn the latest research insights into production-ready code. Writing reliable code that excels in speed and maintainability is your strength. Naturally proactive, you improve the technology stack with new software packages and promote good software development practices. Embracing a DevOps way of working, you are both result-driven and empathetic, always seeking to grow as a team. You enjoy working on the AWS cloud environment or are at least keen to get familiar with AWS cloud services.
Typical project 1: drones
The agronomy research team discovers a new methodology to monitor potato plants, based on analysis of drone imagery from daily flights. Together with the data science team, you develop processing code, and a Shiny dashboard to visualize the results. With the data engineer you setup datasets in the data lake, and schedule daily processing pipelines. With the DevOps engineer, you deploy your code and dashboard to AWS ECS. Due to your work, field trials are more effective, and additional stress resistant potato varieties are available much quicker.
Typical project 2: selection model
The breeding team proposes a new genomic prediction model for plant selection. Together with the breeding and bioinformatics teams, you help to write production-ready code from the start, ensuring high quality and maintainability. You ensure that the model is tested and can be monitored, so that breeders have in-depth feedback on their model. Because of your interest in science, you pick up some domain knowledge along the way, making you an effective sparring partner for your colleagues.
Experience:
Must
- Software engineer education or by training
- 5+ years of software development and cloud experience
- Pandas/polars
- Python, R, Bash
- Linux and Docker usage
- DevOps mindset
Nice to have
- Shiny, DJANGO, FastApi, Pandas/polars, Pydantic
- Unit testing
- Gitlab CI/CD
- Familiar with AWS EC2, AWS S3
- Rust
You are someone who:
- Is a good communicator, as you will work with different stakeholders.
- Can organize your own work and manage expectations.
- Enjoys working in a flat organization with minimal hierarchy.
We offer:
- An enthusiastic and growing team with ambition and passion to drive real change.
- The opportunity to join a dedicated team working on ground-breaking innovations for improving the global food supply.
- Home office is situated in Wageningen.
- Opportunities for growth and development within a dynamic organization.
- A high degree of independence and responsibility within your role.
Application:
To join our team as a Scientific Software Engineer kindly apply exclusively by clicking on the button on this page. Applications submitted via email will not be considered.
Your application should include:
- A short motivation why this position and working at Solynta both align with your personal goals and ambitions
- Your CV
Take the next step in your career and drive innovation at Solynta - apply today!
Wiesje van der Schelde
HR manager