Data Analyst

1 week ago

Shimoga, Karnataka, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Are you a highly motivated Data Analyst seeking to take your career to the next level? Do you have experience with machine learning and complex data analysis?

Job Overview:

This role is perfect for someone who has a strong background in analytics, programming languages like Python, R, or SQL, and experience with cloud platforms such as AWS, Azure, or GCP.

Key Responsibilities:
  • 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.

We are looking for a detail-oriented individual who can identify opportunities for data science applications in drug discovery, development, and manufacturing. If you have a passion for problem-solving and enjoy working in a fast-paced environment, then this could be the perfect opportunity for you

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 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

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