Data Science Specialist - Cheminformatics

Company Description

Aragen Life Sciences is a trusted research and development (R&D) and manufacturing partner for the global life sciences industry. Supporting both small and large organizations, Aragen offers expertise across the entire biopharma lifecycle, from concept to commercialization, for small and large molecules. The company delivers end-to-end solutions and supports standalone programs, backed by a mindset of innovation, cutting-edge technologies, and a collaborative approach. With a mission to transform hope into health, Aragen is dedicated to contributing to global health by enabling success in life sciences programs.

Role Description

This is a full-time, on-site role for a Data Science Specialist Domain Translator, based in Hyderabad. We are looking for an experienced Data Science Specialist with a strong background in Cheminformatics and hands-on experience in designing and developing AI models. The ideal candidate shall have a solid understanding of data science principles and domain-specific knowledge in cheminformatics, particularly in Computer Aided Drug Design (CADD) and AI-driven drug discovery (AIDD).

1. Design and develop AI models with a strong understanding of non-functional & functional requirements
2. Research & Implement robust and scalable AI solutions using computational and generative Chemistry & Biology as per the trends of AIDD (AI Driven Drug Discovery):
3. Collaborate with cross-functional business, UI development, Data Engineering & DevOps team to define, design, deploy and maintain end to end AI products

Qualifications:

1. Strong working domain knowledge of AIDD using Cheminformatics for Pharma/Life Sciences. Candidates from NIPER Hyderabad/NIPER Mohali/similar institution will be preferred
2. Strong working knowledge of popular and widely used LLMs, ML, DL and RL. Must have done minimum of 2 projects end to end.
3. Strong working knowledge of data science tools & frameworks like Jupyter, Visual Studio Code/PyCharm. Pytorch, Keras, ML Flow etc..
4. Working knowledge of relational databases like Microsoft SQL Server (preferably)
5. Working Knowledge in Agile methodologies using Azure DevOps (preferably)