Advanced Analytics Specialist

2 weeks ago

Tiruppur, Tamil Nadu, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

We are seeking a highly motivated Advanced Analytics Specialist to support our organization's advanced analytics initiatives. This role requires a strong background in data science, machine learning, and statistical analysis.

This is an exciting opportunity to work on impactful projects across accelerate drug discovery and development. As a key member of our team, you will be responsible for managing end-to-end analytics projects including data wrangling, model development, validation, and deployment.

You will collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing. Your expertise in Python, R, SQL, and data visualization tools will enable you to design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.

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's, sensors, and other scientific instruments.
  • 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

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.

Preferred Skills & Expertise:

  • 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.
Benefits

Why Join Us?

  • 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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