• Data Analytics Engineering Co-op

    Fresenius Medical Center (Lawrence, MA)


    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 supporting retention and patient satisfaction improvement initiatives via data engineering as part of the Fresenius Medical Care Home Therapy Analytics and AI Product Management team. The role will report to the Senior Product Owner, Home Therapies Connected Health. The Co-op 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:

    + Develop Data Catalog for 90-day Home HD and/or PD patient retention algorithm and customer success dashboard

    + Assist in gathering and organizing the data sources (SAP, Salesforce, Custom DB applications) in a systematic manner to support the retention risk score modeling and customer success KPI reporting

    + Assist with data pipeline development into Azure data platform from diverse on-prem and cloud data sources

    + Support de-identification of the data in line with HIPAA statutes

    + Developing data profile and data validation scripts to characterize incoming data and ensure data quality during ingestion

    + Help with testing and validating the data pipeline including Data quality checks of incoming data

    + 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

    + Proficiency with SQL and experience with ETL/ELT processes and tools

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

    + Experience with Java, Python, SQL, REST/SOAP APIs and related data pipeline development technology stack

    + Experience with Azure, 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

    + Awareness of FHIR will be a big plus

    + Energetic, curious, learner/growth mindset, problem solver, positive attitude, and enjoy working in teams

     

    EOE, disability/veterans