- 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.