Job Description

#

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.


To succeed in this role, you must have a strong interest in engaging with customers to apply the latest scientific and technology advances for R&D acceleration, driving revenue growth for Aganitha in the process.

Aganitha (?????): "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.