1201 F. Hoffmann-La Roche AG
Lab Automation Engineer(m/w/x)
Full-timeOn-siteExperienced
Basel
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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NumPy
- SciPy
- Dask
- Napari
- Git
- CI/CD
- Docker
- Singularity
- HPC
- Cloud
- Zarr
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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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.
Requirements
- 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)
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- NumPy
- SciPy
- Dask
- Napari
- Git
- CI/CD
- Docker
- Singularity
- HPC
- Cloud
- Zarr
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Roche
Industry
Healthcare
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
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