This is a full time Spring Co-op position Jan 2026, ending July 2026. 

INVENT. IMPROVE. INSPIRE. 
Fresenius Medical Care is not your typical medical products company. We are a close-knit team of talented professionals driven by a shared commitment: to lead a movement to dramatically improve renal care with innovative yet simple therapeutic solutions that benefit patients, caregivers, and society. We pursue this goal through a passionate commitment to Innovate, Educate and Advocate for the breakthroughs that are redefining renal care. Additionally, Fresenius Medical Care works in community with its customers, patients, industry partners, and government leaders and agencies to realize the vision of better, simpler, more accessible renal care.  
 

Position Summary: 

The selected intern will assist in driving retention and patient satisfaction initiatives as part of the Fresenius Medical Care Home Therapy Product Management team.  The role will report to the Director of Product Management, Home Therapies connected Health. The intern will work collaboratively with several cross-functional departments including Global Medical Office, Information Technology Solutions, Home Digital Value Stream, and other members of the Home Therapies Connected Health Product Management as part of this role. 

Responsibilities: 

Assist in establishing machine learning algorithms to improve 90-day Home HD and PD patient retention 

Assist in gathering and organizing the data sources in a systematic manner to support the retention risk score modeling  

Support development of features from diverse data sets to advance the algorithms accuracy, specificity, sensitivity 

Help with testing and validating the model at various stages of its evolution 

Execute exploratory data analysis / profiling analysis for important retention algorithm initiatives 

Provide support for our Global Medical Office and Information Technology Solution team members 

Education & Qualifications: 

Candidate for B.S in computer science or data science related field 

Demonstrated ability to conduct self-driven research, and eagerness to learn new tools and methods quickly 

Strong ability to translate model results and data analysis into actionable insights, and communicate those insights clearly to both technical and non-technical stakeholders 

Experience with data analytics and machine learning, required  

Experience with Java, Python, SQL and related machine learning technology stack 

Experience with AWS and other cloud platforms, at least familiarity is needed 

Experience with SalesForce.com, SAP, but not required 

Entry level knowledge of Dialysis industry helpful, but not required  

Energetic, curious, learner/growth/probl