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Machine Learning Engineer - H&E Staining

Machine Learning Engineer - H&E Staining

Micro Crispr Pvt. Ltd.Delhi, India, India
10 days ago
Job description

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.

  • Use and extend tools such as QuPath for cell annotations, segmentation models, and

    • dataset curation.

  • Preprocess, annotate, and manage large image datasets to support model training

    • and validation.

  • Collaborate with cross-disciplinary teams to integrate image-based predictions with

    • molecular and clinical data.

  • Analyze model performance and contribute to improving accuracy, efficiency, and

    • robustness.

  • Document research findings and contribute to publications in peer-reviewed journals.

    • Qualifications :

  • PhD in Computer Science, Biomedical Engineering, Data Science, Computational

    • Biology, or a related discipline.

  • Demonstrated research experience in machine learning, deep learning, or biomedical

    • image analysis (e.g., publications, thesis projects, or conference presentations).

  • Strong programming skills in Python and experience with ML frameworks such as

    • TensorFlow or PyTorch.

  • Familiarity with digital pathology workflows, image preprocessing / augmentation, and

    • annotation tools.

  • Ability to work collaboratively in a multidisciplinary research environment.

    • Preferred :

  • Background in cancer histopathology or biomedical image analysis.
  • Knowledge of multimodal data integration, including spatial transcriptomics.
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    Machine Learning Engineer • Delhi, India, India