onsite
Data Scientist - Artificial Intelligence Research Officer
Data Scientist
Join a research-driven team as a Data Scientist, applying Python, machine learning, and DataOps practices to build, validate, and manage AI‑powered datasets for pharmacology and pharmacy research initiatives.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning pipelines for pharmacological data analysis.
- Implement robust DataOps workflows to ensure reliable data ingestion, transformation, and storage.
- Perform data validation and quality assurance across heterogeneous biomedical datasets.
- Collaborate with domain scientists to translate research questions into scalable AI solutions.
- Maintain documentation and reproducible codebases using version control and containerization.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
- Experience with data engineering tools and platforms (SQL, NoSQL, Apache Airflow, Spark).
- Hands‑on knowledge of DataOps principles, CI/CD pipelines, and container technologies (Docker, Kubernetes).
- Background in data validation, cleaning, and quality control for scientific datasets.
- Ability to communicate technical concepts to interdisciplinary research teams.
Skills
pythonmachine learning