Position Details
About this role
This role involves working with data scientists to develop AI models, create visualizations, and apply AI techniques in the pharmaceutical domain. It offers an opportunity to implement state-of-the-art research in a collaborative environment.
Key Responsibilities
- Collaborate with data scientists
- Develop AI models and dashboards
- Research AI applications in pharma
- Support model deployment and validation
- Maintain data pipelines
Technical Overview
The technical environment includes programming in Python and R, utilizing NLP and deep learning frameworks like PyTorch and TensorFlow, and working with data visualization tools and SQL for data handling.
Ideal Candidate
The ideal candidate is an entry-level data scientist with a strong foundation in Python or R, experience with Monte Carlo simulations, and familiarity with NLP and deep learning frameworks. They should be eager to work on cutting-edge AI applications in the pharmaceutical industry and collaborate with cross-functional teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Monte Carlo Simulation, No programming experience in Python or R, No familiarity with NLP or deep learning frameworks
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