Scientist (Biomedical Image Analysis Scientist)

1 week ago


Hyderabad Telangana, India Aganitha AI Full time

**Join us and contribute to the discovery of medicines that will impact lives**:

- **Hyderabad, India**:

- **About Aganitha**:

- **High-throughput experimentation, Computational & Data-driven modeling and the dawn of the Open Science era are dramatically changing how BioPharma researches, discovers and develops new therapeutics. Aganitha is co-innovating with global biopharma customers on next generation R&D.**
- As a Customer Solutions Manager at Aganitha, you will be called upon to blend advances in multiple disciplines such as Omics, Structural Biology, Protein and Antibody Engineering, Computational Quantum Chemistry, AI/ML, and High-performance computing in the Cloud to help our global BioPharma customers accelerate design and development of SMOL, Antibody, Gene, Cell & RNA therapeutics. You will work with research leaders at our customer organizations, identify their needs and build solutions in collaboration with our internal technical and scientific teams.
- _ Aganitha (अगणित): “countless” or “limitless” in Sanskrit serves as a reminder and inspiration about the limitless potential in each one of us. Come join us to bring out your best and be limitless_- **Key Responsibilities**:Design, implement, and optimize algorithms for biomedical image analysis using deep learning and computer vision techniques (CNNs, transformers, diffusion models, etc.).
- Work on multi-modal datasets — including cellular images, microscopy, MRI, CT, EEG, ECG and histopathology slides — to extract meaningful biological or clinical insights.
- Develop automated image & waveform segmentation, classification, and feature extraction workflows.
- Collaborate with biologists, chemists, and AI engineers to integrate imaging data with omics and molecular datasets.
- Contribute to building scalable pipelines for image data preprocessing, model training, and deployment.
- Validate models against experimental data and ensure reproducibility of results.
- Stay current with advances in biomedical imaging, AI/ML architectures, and data integration methods.**Desired Skills / Expertise**:Strong background in **Biomedical Engineering**, **Computer Science**, **Electrical Engineering**, **Biophysics**, **Computational Biology**, or related field.
- PhD or Master’s degree with experience in biomedical image analysis or computer vision.
- Hands-on experience with **Python**, **PyTorch** (or TensorFlow), **OpenCV**, and **scikit-image**.
- Experience with **microscopy, histopathology, and radiology** image datasets.
- Knowledge of **image preprocessing, segmentation, and 3D/volumetric data** handling.
- Familiarity with **data annotation**, **weak supervision**, or **multi-modal learning** is a plus.
- Excellent communication and problem-solving skills.**Preferred Qualifications**:Prior experience integrating image data with omics, clinical, or molecular datasets.
- Experience deploying ML models or using MLOps tools (e.g., MLFlow, ClearML).
- Publications or open-source contributions in biomedical imaging or computational biology.



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