Work at the intersection of plant cell biology and applied AI to build productionize and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. The contractor will contribute to endtoend imaging and analyticsfrom microscopy microspore detection to macroscopic structure assessment and plantlet characterizationsupporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python integrated with our repositories and workflow tooling and aligned with Biotech strategy initiatives
Must Have:
- 46 years handson in computer vision with Python (PyTorch/TensorFlow) including detection/segmentation/classification for scientific or industrial imaging.
- Proven ability to productionize models: Git/GitLab code reviews CICD basics experiment tracking (MLFlow or equivalent) reproducible data/experiments and clear documentation.
- Experience with microscopy image processing multipage TIFFs zstacks autoscale/normalization and image quality challenges.
- Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing dimensionality reduction modeling) applied to plant or biological materials.
- Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences.
NicetoHave
- Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling.
- Experience optimizing inference (e.g. mixed precision) and scaling batch workflows.
- Domain familiarity with Biotech breeding workflows.
- Collaboration with discovery and strategy teams; ability to work across biology engineering and data science groups.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract
Work at the intersection of plant cell biology and applied AI to build productionize and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. The contractor will contribute to endtoend imaging and analyticsfrom microscopy microspore detection to macrosco...
Work at the intersection of plant cell biology and applied AI to build productionize and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. The contractor will contribute to endtoend imaging and analyticsfrom microscopy microspore detection to macroscopic structure assessment and plantlet characterizationsupporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python integrated with our repositories and workflow tooling and aligned with Biotech strategy initiatives
Must Have:
- 46 years handson in computer vision with Python (PyTorch/TensorFlow) including detection/segmentation/classification for scientific or industrial imaging.
- Proven ability to productionize models: Git/GitLab code reviews CICD basics experiment tracking (MLFlow or equivalent) reproducible data/experiments and clear documentation.
- Experience with microscopy image processing multipage TIFFs zstacks autoscale/normalization and image quality challenges.
- Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing dimensionality reduction modeling) applied to plant or biological materials.
- Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences.
NicetoHave
- Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling.
- Experience optimizing inference (e.g. mixed precision) and scaling batch workflows.
- Domain familiarity with Biotech breeding workflows.
- Collaboration with discovery and strategy teams; ability to work across biology engineering and data science groups.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
No
Employment Type :
Contract
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