ICPMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike
Info
Santiago de Compostela
Santiago de Compostela, Spain
Regular Full Time
Regular Full Time
Software
Software
36.000 - 40.000 €
36.000 - 40.000 €

Developer Mestrelab- SciY - Bruker

Inactive
Mestrelab Research - Career

MESTRELAB RESEARCH a dynamic innovative company

We have grown from an academic research project to a company with global outreach that provides quality scientific software to thousands of customers. Our aim is to deliver top quality software tools for the scientific research community and to continuously strive to attain state-of-the-art in Graphical User Interfaces, software integration and software science. We believe that scientific software development should be challenging and enjoyable, and this is the base of our vision.

Mestrelab has established a global presence, with software sales in over 80 countries and a client list that includes many of the major pharmaceutical, biotech and chemical companies, as well as some of the most relevant government and academic laboratories worldwide. As part of SciY, the software division of Bruker, we collaborate closely with Bruker itself and the other SciY companies, working together to achieve common goals.

We are currently seeking a Developer to join our Mestrelab- SciY - Bruker team at our location in Santiago de Compostela and we are looking forward to hearing for you. This a hybrid position.

DEVELOPER (d/m/w)

Responsibilities

  • Drive the development of our cloud-based Digital Twin product to receive and analyze real-time instrument performance data.

  • Develop statistical models and craft powerful algorithms for predictive maintenance, ensuring optimal performance and efficiency. You interact with our key customers and beta testers, so their input can directly influence our product development.

  • Seamlessly integrate with development teams, fostering effective communication among developers and stakeholders across departments.

Qualifications

  • You possess a degree in computer science or natural sciences, or comparable knowledge and skills.

  • You have a profound knowledge of Python and the Python Ecosystem.

  • You have a profound knowledge of statistical methods and machine learning concepts for data analysis.

  • You have a good understanding of document-based databases.

  • You are fluent in spoken and written English. German language skills are a plus.

  • Experience with data processing pipelines is a plus.

  • Knowledge of proteomics or metabolomics is a plus.

Also, as the ideal candidate, you

  • show initiative and a sense of responsibility

  • love working in a team

  • have good communication skills.

Do not hesitate to apply if you match this position and want to be part of state of the art projects, working on a hybrid basis, with flexibility, surrounded by a diverse team of highly skilled people who also love to have some fun.

 

Related content

Routine Analysis of Rare Earth Elements in Basalt using ICP-MS

Applications
| 2026 | Agilent Technologies
Instrumentation
ICP/MS
Manufacturer
Agilent Technologies
Industries
Materials Testing

Analysis of rare earth elements in clay using XRF and XRD

Applications
| 2026 | Thermo Fisher Scientific
Instrumentation
XRD
Manufacturer
Thermo Fisher Scientific
Industries
Materials Testing

Measurement of TOC in Chloroisocyanuric Acid Used as Disinfectant

Applications
| 2026 | Shimadzu
Instrumentation
TOC
Manufacturer
Shimadzu
Industries
Pharma & Biopharma

High Precision Analysis of Major Components in Precious Metals by ICP-OES

Applications
| 2025 | Agilent Technologies
Instrumentation
ICP-OES
Manufacturer
Agilent Technologies
Industries
Materials Testing

Analysis of Heavy Metals in Baby FoodUsing ICP-MS

Applications
| 2025 | Shimadzu
Instrumentation
ICP/MS
Manufacturer
Shimadzu
Industries
Food & Agriculture
Other projects
GCMS
LCMS
Follow us
FacebookLinkedInYouTube
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike