Advanced Analytics Specialist

5 days ago

Dindigul, Tamil Nadu, India beBeeDataStrategist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Data Strategist

We are seeking a skilled Data Strategist to support advanced analytics initiatives across the organization.

  • Manage end-to-end data 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 and 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.

Others:

  • Sound knowledge of statistical, machine learning algorithms and applications.
  • Expertise in the use of Python for machine learning and complex data analysis.
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Knowledge of FAIR data principles and data governance in scientific environments.
  • Exposure to digital lab tools like ELN, LIMS, or CDS.
  • Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11).
  • Knowledge of Computer Vision and Gen AI approaches.
  • Excellent storytelling and presentation skills.
  • Ability to work in a dynamic multidisciplinary environment.

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