Job Description

Scientist (AI Modeling for Computational Sciences)🌟 Exciting Opportunity for PhD Scholars and Postdocs in Scientist – AI Modeling!

We are offering a comprehensive training-cum-internship program tailored for aspiring researchers from disciplines such as Biochemistry, Computational Biology, Bioinformatics, Computational Chemistry, Cheminformatics, Materials Science, Chemical Engineering, Computational Physics, Medicinal Chemistry, Applied Mathematics, Applied Statistics, Fluid Dynamics, or closely related areas.

🔬 About Aganitha: 👉 https://www.aganitha.ai/

🧬 What You’ll Do
As a Scientist at Aganitha, you will work on in-silico discovery and modeling projects that combine omics data, AI, and molecular insights. Your work will help identify new drug targets, uncover disease mechanisms, and optimize therapeutic candidates and formulations.

Key Responsibilities:
– Design and develop AI/ML models for predicting molecular properties, material behaviors, and reaction outcomes
– Apply in-silico methods for designing and optimizing therapeutic candidates (antibodies, RNA molecules, viral vectors)
– Curate and analyze scientific datasets for model training
– Develop intelligent featurization strategies for chemical, physical, and biological data
– Implement and evaluate ML/DL models (CNNs, RNNs, LSTMs, Transformers)
– Validate models using benchmarks and client datasets
– Translate technical results into actionable insights
– Collaborate with computational chemists, data scientists, and wet-lab scientists
– Stay updated with advancements in AI/ML and computational sciences

📘 What You’ll Learn: Hands-on experience with real-world AI modeling projects using:
🔥 Deep Learning: PyTorch
📊 Machine Learning: Python, Scikit-learn
🤖 LLM-Powered AI Agents
⚙️ MLOps Tools: ClearML, MLFlow
🛠️ Modular & Typed Python
🌐 REST API Development
🚀 DevOps for Model Deployment

📩 How to Apply: https://lnkd.in/gsZARDsJ