
Lead Data Analyst
3 days ago
Our organization seeks a skilled Data Scientist to support advanced analytics initiatives.
- Develop and implement 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.
- 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
Qualifications:
- Bachelor's degree in Computer Science, Statistics, Mathematics or related field
- 3+ years of experience 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 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
Job Requirements:
- Education: Bachelor’s degree in relevant field
- Experience: 3+ years in data science or advanced analytics
- Skills: Proficient in Python, R, SQL, data visualization tools, machine learning frameworks, cheminformatics/bioinformatics tools
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