Description

  • We’re looking for an experienced Data Scientist with strong Machine Learning expertise and Python programming skills to join our team.
  • This role requires a deep understanding of the pharmaceutical domain and the ability to unlock insights from complex healthcare data to drive impactful decisions.

 

Key Responsibilities:

  • Design, develop, and deploy ML models for clinical, R&D, or commercial pharma applications.
  • Analyze high-dimensional biological, chemical, or clinical datasets.
  • Collaborate with cross-functional teams including biostatisticians, domain experts, and product managers.
  • Perform exploratory data analysis and develop predictive models to solve key business challenges.
  • Ensure data integrity, reproducibility, and compliance with healthcare data standards (e.g. HIPAA, GDPR if applicable).

 

Required Skills & Qualifications:

  • Proven experience in developing Machine Learning models and deploying them in production.
  • Strong proficiency in Python, along with relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
  • Solid understanding of pharma data, clinical trial datasets, drug discovery pipelines, or real-world evidence.
  • Experience with data wrangling, visualization, and working with structured/unstructured data.
  • Familiarity with cloud platforms and tools (AWS/GCP/Azure) is a plus.


 

Education

Any Gradute

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