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Research Software Engineer(m/w/x)
Building image processing infrastructure for lightsheet microscopy data at a global healthcare company. Advanced degree and Python scientific stack proficiency required. HPC and cloud environment optimization, Git, CI/CD, and Docker/Singularity experience.
Anforderungen
- Advanced degree (MSc or PhD) in Computer Science, Bioinformatics, Physics, Mathematics, or related discipline
- Strong programming skills in Python with scientific stacks (NumPy, SciPy, Dask, Napari)
- Proficiency with source control (Git), CI/CD pipelines, and containerization (Docker/Singularity)
- Experience designing solutions leveraging distributed computing (HPC clusters or Cloud environments)
- Solid background in mathematics, exploratory data analysis, and statistics methodology/tools
- Excellent ability to communicate complex technical concepts to non-technical stakeholders (biologists) and translate scientific needs into engineering specifications
- Experience with image processing methods on biological datasets, emphasis on microscopy
- Experience with data analysis in other modalities (genomics, transcriptomics, proteomics, spatial variants, integration with imaging)
- Experience with out-of-core data processing and handling large data structures (Dask, Zarr, chunking strategies)
Aufgaben
- Support data challenges with robust image processing infrastructure
- Handle massive data influx from lightsheet microscopes
- Design scalable data processing and visualization systems
- Optimize processing pipelines for HPC and Cloud environments
- Ensure efficient resource utilization for large-scale datasets
- Support integration of open standards (e.g., OME-Zarr)
- Champion software engineering best practices
- Transform research code into reproducible, maintainable software
- Identify unmet digital needs and translate them into requirements
- Upskill computational researchers through code reviews and teaching
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- SciPy
- Dask
- Napari
- Git
- CI/CD
- Docker
- Singularity
- HPC
- Cloud
- Zarr
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Research Software Engineer(m/w/x)
Building image processing infrastructure for lightsheet microscopy data at a global healthcare company. Advanced degree and Python scientific stack proficiency required. HPC and cloud environment optimization, Git, CI/CD, and Docker/Singularity experience.
Anforderungen
- Advanced degree (MSc or PhD) in Computer Science, Bioinformatics, Physics, Mathematics, or related discipline
- Strong programming skills in Python with scientific stacks (NumPy, SciPy, Dask, Napari)
- Proficiency with source control (Git), CI/CD pipelines, and containerization (Docker/Singularity)
- Experience designing solutions leveraging distributed computing (HPC clusters or Cloud environments)
- Solid background in mathematics, exploratory data analysis, and statistics methodology/tools
- Excellent ability to communicate complex technical concepts to non-technical stakeholders (biologists) and translate scientific needs into engineering specifications
- Experience with image processing methods on biological datasets, emphasis on microscopy
- Experience with data analysis in other modalities (genomics, transcriptomics, proteomics, spatial variants, integration with imaging)
- Experience with out-of-core data processing and handling large data structures (Dask, Zarr, chunking strategies)
Aufgaben
- Support data challenges with robust image processing infrastructure
- Handle massive data influx from lightsheet microscopes
- Design scalable data processing and visualization systems
- Optimize processing pipelines for HPC and Cloud environments
- Ensure efficient resource utilization for large-scale datasets
- Support integration of open standards (e.g., OME-Zarr)
- Champion software engineering best practices
- Transform research code into reproducible, maintainable software
- Identify unmet digital needs and translate them into requirements
- Upskill computational researchers through code reviews and teaching
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- NumPy
- SciPy
- Dask
- Napari
- Git
- CI/CD
- Docker
- Singularity
- HPC
- Cloud
- Zarr
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Roche
Branche
Healthcare
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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