Histopathology AI / ML Developer
Micro Crispr Pvt. Ltd.Delhi, Republic Of India, IN30+ days ago
Job descriptionUse and extend tools such as QuPath for cell annotations, segmentation models, and Preprocess, annotate, and manage large image datasets to support model training Collaborate with cross-disciplinary teams to integrate image-based predictions with Analyze model performance and contribute to improving accuracy, efficiency, and Document research findings and contribute to publications in peer-reviewed journals. PhD in Computer Science, Biomedical Engineering, Data Science, Computational Demonstrated research experience in machine learning, deep learning, or biomedical Strong programming skills in Python and experience with ML frameworks such as Familiarity with digital pathology workflows, image preprocessing / augmentation, and Ability to work collaboratively in a multidisciplinary research environment. Background in cancer histopathology or biomedical image analysis. Knowledge of multimodal data integration, including spatial transcriptomics.
Job Title : H&E Image Analysis Scientist / Machine Learning Engineer- Spatial Omics (PhD)
Experience : Freshers
Location : Delhi
Job Description :
We are seeking a motivated PhD candidate interested in machine learning for histopathology
image analysis. The candidate will contribute to developing and optimizing deep learning
models to analyze digitized H&E slides for cancer classification and spatial mapping. This
role is well-suited for researchers aiming to apply advanced computational methods to
biomedical challenges.
Responsibilities :
- Design, develop, and train convolutional neural networks (CNNs) and related ML
models on H&E-stained histology images.
dataset curation.
and validation.
molecular and clinical data.
robustness.
Qualifications :
Biology, or a related discipline.
image analysis (e.G., publications, thesis projects, or conference presentations).
TensorFlow or PyTorch.
annotation tools.
Preferred :
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Developer • Delhi, Republic Of India, IN
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