
Business Intelligence Specialist
4 days ago
Key Responsibilities:
- Develop end-to-end analytics projects, data wrangling, model development, validation and deployment.
- Collaborate with scientific teams to identify opportunities for data analysis in drug discovery, development and manufacturing.
- Interact with domain experts to understand data challenges and implement scalable solutions.
- Design 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.
- Build data pipelines and dashboards for real-time monitoring and reporting.
- 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 environment.
- Be part of a growing organization.
- Work on impactful projects across various departments.
- Collaborate with world-class scientists and technologists.
- Enjoy a culture of innovation and continuous improvement.
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