Associate Data Scientist Co-op

Overview In this role you will work with the R&D team to explore data-driven intelligent algorithms for healthcare applications. You will prototype ML solutions, focusing on advanced techniques and retina image analysis for disease detection. You’ll collaborate across data science, data engineering, and Dev Ops to build robust models and document datasets. This is a hands-on, research-oriented posición at Baxter, offering a chance to impact healthcare outcomes while learning cutting-edge ML methods. Compensation / Benefitsmedical and dental coverage from day one Employee Stock Purchase Plan (ESPP)401(k) with company matcheducational assistancepaid holidayspaid time off (20–35 days) Responsibilities Leverage data to develop ML-based algorithms for healthcare applications Prototype and evaluate algorithmic solutions using stated data sources Review state-of-the-art techniques for retina image analysis to support disease detection Conduct data analytics on existing collections and organize data for future use Document work and datasets; maintain clear code and process documentation Collaborate with team members and communicate findings; some Dev Ops/MLops exposure is beneficial Write code/scripts (Python preferred; other languages like Java/C# acceptable)Understand ML algorithms and apply modern ML techniques to day-to-day problems Key requirements Knowledge of Transformers, LLMs and related technologies Solid grounding in Machine Learning and ability to implement state-of-the-art techniques Deep understanding of ML techniques and ML platforms (advantage)Knowledge of Data Engineering, Big Data, cloud, Kubernetes (helpful)Experience with Dev Ops, MLops, Kubernetes, Docker, CI/CD, Azure or related cloud tech (helpful)Experience in retina image analysis literature is beneficial Proficiency in Python (preferred); other languages acceptable Currently pursuing Master's or PhD with relevant ML/AI focusquick learnereffective communicatorcollaborative TransformersLLMMachine learning