Deep Learning Scientist (Bengaluru Urban)

Company Overview Grafton Biosciences is a US-based biotech startup (with offices in Bengaluru) focused on solving cancer and cardiovascular disease through groundbreaking innovations in early detection, diagnostics, and therapeutics. We combine cutting-edge molecular and synthetic biology, machine learning, device engineering, and manufacturing to deliver transformative solutions. Many previous attempts to solve cancer have come up short - we intend to be the first to _actually _solve it. Were looking for passionate team members who want to shape the future of medicine. Role Overview We are seeking a Senior Deep Learning Scientist to spearhead the design, development, and implementation of advanced neural network architectures for next-generation cancer detection solutions. In this role, you will work with a variety of large-scale data sources and leverage cutting-edge deep learning techniques to drive breakthrough innovations. Responsibilities: 1. Neural Network Architecture & Model Development - Design and optimize state-of-the-art neural network models (e.g., CNNs, RNNs, transformers, or custom architectures) tailored to complex data and challenging predictive tasks. - Implement best practices in model training, validation, and deployment, ensuring performance, scalability, and reliability. 2. Research & Innovation - Stay abreast of the latest research in deep learning, contributing new ideas and methods to enhance model accuracy, generalizability, and interpretability. - Rapidly prototype new approaches, evaluate their effectiveness, and iterate for continuous improvement. 3. Data Management & Processing - Collaborate with data engineering teams to establish data pipelines for large, heterogeneous datasets. - Develop effective data preprocessing, augmentation, and feature engineering techniques for high-quality model inputs. 4. Infrastructure & Scalability - Work with DevOps or IT to utilize cloud-based or on-premise GPU/TPU environments for distributed .