Job
- Level
- Experienced
- Location
- Bremen
- Working Model
- Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop software for scientific instruments, validate algorithms, and experiment with complex datasets while closely collaborating with research teams.
Job Technologies
Your role in the team
- The Scientific Software & Research Platform Engineer combines scientific investigation, data science, software engineering, and deep instrument knowledge to improve instrument performance, calibration, diagnostics, and reliability.
- This on-site role requires regular hands-on work with spectrometers, including prototypes, and close collaboration with Research, Production/Operations, and Support.
- Design, execute, and validate experiments using instrument, multi-sensor, and multi-modal data.
- Develop and evaluate algorithms for diagnostic and failure-mode modeling.
- Turn exploratory analyses and prototypes into reusable, well-tested research tools and reproducible experiment frameworks.
- Manage data versioning, metadata, experiment tracking, and scalable execution from laptops to servers/clusters.
- Build safe programmatic interfaces to instrument control software, firmware, and test stands, including autonomous agentic workflows.
- Package, install, and validate new iterations in lab and production test environments.
- Collaborate with researchers, Production Engineering, IT/Operations, and Support to ensure reliable and traceable deployment.
- The impact of this role is both scientific and technical: turning observations into trusted, reproducible diagnostic insights while building tools and knowledge that can be reused across instruments and teams.
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Our expectations of you
Qualifications
- Background in physics, applied mathematics, or a related quantitative/scientific field, with a strong track record of independent research and quantitative modeling.
- Hands-on scientific investigation, experimental design, and analysis of complex real-world instrument or experimental data.
- Comfortable working directly with physical instruments and deploying and validating software in controlled lab or production test environments.
- Scientific Software Engineering: Python, clean APIs, modular design, testing, and reproducible research workflows.
- Data & Modeling: Data analysis and visualization, SQL/NoSQL and file-based data systems, diagnostic modeling, experiment tracking, and model/version management.
- Engineering Tools: Strong Linux/Bash skills; CI, containerization, and server/cluster deployment. Familiarity with C++/Rust is a plus.
- Production-aware delivery: Ability to install, configure, troubleshoot, and validate research software and translate manual processes into Documented and increasingly automated workflows.
- Full professional proficiency, written and spoken.
Experience
- Experience developing research software and translating scientific insights into diagnostic, predictive, or decision-support tools.
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What we offer
- Beschäftigung bei einer innovativen, zukunftsorientierten Organisation.
- Outstanding career and development prospects.
- Company pension scheme and other fringe benefits.
- Exciting company culture that stands for integrity, intensity, involvement, and innovation.
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Benefits
Higher Take-Home Pay
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Thermo Fisher Scientific
Wien
Thermo Fisher Scientific Inc. is the world's leading scientific company with an annual turnover of around $40 billion. Our mission is to help our customers make the world healthier, cleaner and safer.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Science, Research
Scientific Software & Research Platform Engineer
- Location
- Bremen
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
