Pharmaceutical Science Job at Aragen Life Sciences | Apply Now
Aragen Life Sciences is hiring a research-driven Data Science Specialist – Domain Translator in Hyderabad. This Pharmaceutical Science Job is designed for a Ph.D. holder in Pharmaceutical Sciences, Bioinformatics, or Cheminformatics with 1 to 4 years of industrial experience. The position focuses on building end-to-end AI products for Generative and Computational Chemistry, bridging the gap between life sciences domains and advanced machine learning frameworks like Pytorch and LLMs.
- Job Post: Data Science Specialist – Domain Translator
- Location: Hyderabad
About The Company
Aragen Life Sciences (formerly GVK BIO) is a leading global Contract Research, Development, and Manufacturing Organization (CRDMO). Headquartered in Hyderabad, Aragen provides integrated drug discovery, development, and manufacturing solutions to the global life sciences industry. With a focus on accelerating R&D programs through “gold standard” scientific expertise, Aragen leverages advanced technologies—including AI-driven Drug Discovery (AIDD)—to transform computational chemistry and bioinformatics into tangible clinical outcomes.
Pharmaceutical Science Job Description
We are looking for passionate research-oriented mindset-driven Drug & Data Science specialists who are keen to work on Generative & Computational Chemistry & beyond. Aspirants must have a strong background in Drug and Data Science for designing and developing end-to-end AI products on the concepts of AIDD.
Responsibilities
- Design and develop AI models with a strong understanding of non-functional & functional requirements
- Implement robust and scalable AI solutions in the following areas:
- Data Processing: Designing and managing data pipelines for training AI models. This includes data collection, cleaning, and preprocessing.
- Model Development & Training: Developing and fine-tuning generative AI models for various applications. Ensuring the models are efficient and effective in generating high-quality outputs.
- Algorithm Optimization: Analyzing and optimizing AI algorithms for performance. This could involve tasks like hyperparameter tuning, model compression, and implementing advanced optimization techniques.
- Security Measures: Implementing security measures to protect sensitive data and AI models. This includes tasks like data encryption, access control, and ensuring compliance with data privacy regulations.
- Collaborate with cross-functional business, Data Engineering & DevOps team to define, design, deploy, and maintain end-to-end AI products
Pharma Job Requirements
- Strong problem-solving skills, algorithmic skills, and data structures.
- Strong working knowledge of popular and widely used LLMs, ML, DL, and RL. Must have done a minimum of 2 projects end-to-end.
- Strong working knowledge of AIDD using Cheminformatics & Bioinformatics libraries for the Pharma/Life Sciences domain
- Strong working knowledge of data science tools & frameworks like Jupyter, Visual Studio Code/PyCharm. Pytorch, Keras, ML Flow, etc.
- Working knowledge of relational databases like Microsoft SQL Server (preferably)
- Working Knowledge in Agile methodologies using Azure DevOps
Qualifications for the Pharma Job
Ph.D. in Pharmaceutical Sciences & Drug Designing / Pharmacoinformatics/ Or any Life Sciences with 1 to 4 years of industrial experience.
