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1 week ago
We are seeking a highly motivated data analyst to support advanced analytics initiatives across the organization.
The ideal candidate will have experience in managing end-to-end analytics projects, collaborating with cross-functional teams, and implementing robust solutions using machine learning models, statistical analyses, and data visualizations.
- 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 scalable solutions.
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.
BenefitsBe part of a growing digital transformation journey in a science-driven organization.
Work on impactful projects across accelerate drug discovery and development.
Enjoy a culture of innovation, learning, and continuous improvement.
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