onsite
Senior Data Scientist - Arine
Data Scientist
Lead advanced analytics and AI initiatives to transform medication management, driving safer, personalized treatments through cutting‑edge data science and cloud‑based solutions.
About the role
Key Responsibilities
- Design, develop, and deploy scalable machine learning models to predict medication efficacy and safety across diverse patient populations.
- Collaborate with clinical experts to translate complex medical data into actionable insights and product features.
- Architect data pipelines and maintain robust data infrastructure on AWS, ensuring data quality, security, and compliance.
- Lead model validation, performance monitoring, and continuous improvement cycles, integrating feedback from clinical trials and real‑world evidence.
- Mentor junior data scientists and cross‑functional teams, fostering a culture of experimentation and evidence‑based decision making.
Requirements
- PhD or Master’s in Data Science, Statistics, Computer Science, or related field with 5+ years of industry experience.
- Proven expertise in Python, SQL, and deep learning frameworks (TensorFlow/PyTorch).
- Hands‑on experience with AWS services (SageMaker, Redshift, Lambda) and data engineering best practices.
- Strong analytical mindset with a track record of deploying production‑grade ML solutions in regulated healthcare environments.
- Excellent communication skills and ability to translate technical findings to non‑technical stakeholders.
Skills
pythonmachine learningdeep learningsqlaws