Scientific Analyst

Job Description:

We are seeking a highly motivated Data Scientist to support advanced analytics initiatives across the organization.

Key Responsibilities:

• Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment.
• Collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing.
• Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.
• Design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.
• Develop predictive models for reaction outcomes, process optimization, and quality control.
• Work with structured and unstructured data from lab equipment's, sensors, and other scientific instruments. And also, from enterprise applications (CRM, ERP, etc.)
• Build and maintain data pipelines and dashboards for real-time monitoring and reporting.
• Implement AI workflows for enhancing decision-making processes

Required Skills & Qualifications:

• Education: MS/MTech in Mathematics, Statistics, Computer Science.
• Experience: 3+ years in data science or advanced analytics.
• Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cheminformatics or bioinformatics tools (e.g., RDKit, KNIME) is a plus.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Benefits:

• Be part of a growing digital transformation journey in a science-driven organization.
• Work on impactful projects across accelerate drug discovery and development.
• Collaborate with world-class scientists and technologists.
• Enjoy a culture of innovation, learning, and continuous improvement.