Dein persönlicher KI-Karriere-Agent
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
Noch nicht perfekt?
- 1201 F. Hoffmann-La Roche AGVollzeitnur vor OrtBerufserfahrenBasel
- Roche
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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
Über das Unternehmen
Roche
Branche
Healthcare
Beschreibung
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Noch nicht perfekt?
- 1201 F. Hoffmann-La Roche AG
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