Biomedical Image Analysis Scientist (India)

Join us and contribute to the discovery of medicines that will impact lives! Hyderabad, India | Hybrid | Full time About Aganitha Accelerate drug discovery and development for Biopharma and Biotech R&D; with in silico solutions leveraging Computational Biology & Chemistry, High throughput Sciences, AI, ML, HPC, Cloud, Data, and DevOps. In silico solutions are transforming the biopharma and biotech industries. Our cross-domain science and technology team of experts embark upon and industrialize this transformation. We continually expand our world-class multi-disciplinary team in Genomics, AI, and Cloud computing, accelerating drug discovery and development. What drives us is the joy of working in an innovation-rich, research-powered startup bridging multiple disciplines to bring medicines faster for human use. We are working with several innovative Biopharma companies and expanding our client base globally. Read about how and what solutions we build. 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! Role Overview We are looking for a motivated Biomedical Image Analysis Scientist to join our interdisciplinary team of AI researchers and computational scientists. You will develop and apply advanced image processing and AI/ML techniques to analyze biomedical, histopathology, and microscopy data to support scientific discovery and therapeutic development. Key Responsibilities
- Work on multi-modal datasets — including cellular images, fluorescence and bright field microscopy and histopathology slides — to extract meaningful biological or clinical insights.
- Design, implement, and optimize algorithms for biomedical image analysis using deep learning and computer vision techniques(CNNs, transformers, diffusion models, etc.)
- Develop automated image 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. Required Qualifications
- Strong background in Biomedical Engineering, Biology, Computer Science, Computational Biology, or related field.
- PhD or Master’s degree with experience in Brightfield and Fluorescent microscopy, biomedical image generation and analysis. Working knowledge of computer vision is a plus.
- 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. Skills & Competencies
- Prior experience integrating image data with omics, clinical, or molecular datasets.
- Publications or open-source contributions in biomedical imaging or computational biology. Apply on Kit Job: kitjob.in/job/4mrhxv