Biostatistics & Epidemiology Intern, Healthcare Data Science

Carenity

Paris

Sur place

EUR 13 000 - 20 000

Plein temps

Il y a 11 jours
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Résumé du poste

Carenity is seeking a motivated final-year Master’s student to contribute to real-world observational patient studies. You will work with data scientists and project managers to design surveys, program online questionnaires, and monitor fieldwork on the Carenity platform.

Strong R skills, data cleaning, and basic statistics are required, with fluent English and French communication. You will also contribute to internal data initiatives, such as refining R scripts and developing analytical

Qualifications

  • Final-year/master student in Data Science or related field with strong analytical skills.
  • Proficiency in R is required and data analysis skills are essential.
  • Fluent in English with strong written communication in English and French.

Responsabilités

  • Participate in prospective observational studies based on patient data.
  • Assist design of surveys and questionnaires for client needs.
  • Program and launch online questionnaires on the Carenity platform.
  • Monitor fieldwork and response rates; track study progress.
  • Coordinate with internal teams and support participant recruitment.
  • Perform data cleaning and preparation and basic statistical analyses in R.
  • Contribute to study deliverables and client-facing reports.

Connaissances

R programming
Statistics
Data analysis
Bilingual ENG/FR

Formation

Master's student in Data Science or related field
Final-year student in a top program

Outils

R

Description du poste

Carenity is seeking a motivated final-year Master’s student to contribute to real-world observational patient studies. You will work with data scientists and project managers to design surveys, program online questionnaires, and monitor fieldwork on the Carenity platform.

Strong R skills, data cleaning, and basic statistics are required, with fluent English and French communication. You will also contribute to internal data initiatives, such as refining R scripts and developing analytical

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