
Advanced Analytics Professional
3 days ago
Job Description:
We are seeking a highly motivated professional 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, 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.
Qualifications & Skills:
- Education: Master's degree in Mathematics, Statistics, Computer Science or related field.
- Experience: 3+ years in data science or advanced analytics.
- Proficiency in programming languages like Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Knowledge of FAIR data principles and data governance in scientific environments.
- Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11).
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.
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