Medidata is seeking to solve complex questions facing drug development through the use of machine learning and AI, leveraging its extensive clinical data to power modern clinical trial study design and study conduct with Rave and Patient Cloud products.
Requirements
- Proficiency using Python, SQL, Linux shell scripting, AWS, Docker, and Git
- Experience with AI service development, familiar with different model serving strategies and service basics (performance, latency, scalability, etc)
- Technical leadership in both hard and soft skills, proactive, clear, and efficient in communication
- Experience with deep learning is preferred
- Previous experience with deploying GPU based models to AWS is a plus
- Experience with LLM or transformer based algorithms and methods
- Familiarity with NLP in healthcare data datasets in production
Responsibilities
- Design, develop and validate machine learning models for novel clinical trial applications.
- Interact with product team to grasp product needs and provide AI solution (data, modeling strategies, and model serving).
- Develop prototypes that communicate how models can be used within customer facing products.
- Evaluate and assess novel tools, algorithms, and technologies to be an AI community enabler.
- Build end-to-end machine learning pipelines from data curation, processing, model building, model evaluation, to model deployment for production.
- Lead junior developers in implementations of AI tasks and drive technical decisions across teams.
Other
- Master's or PhD is required in a computational field such as Data Science, Computer Science, Mathematics, Statistics, or related field and a minimum of 5 years of experience
- Hybrid work policy requiring on-site presence a certain number of days per week in accordance with Company policy
- Equal employment opportunity and inclusion statement
- Applications will be accepted on an ongoing basis until the position is filled
