Biostatistics and Clinical Data Science - Internship

Key Skills

Biostatistics, English Proficiency, R Programming, SAS, Statistical modeling

Job Description

Join us today and make a difference in people's lives.

We are offering an Internship opportunity to talented candidates in the Biostatistics and Clinical Data Science area in our Milan office.

You will be part of LivaNova, global medical technology company, worldwide leader in cardiovascular and neuromodulation solutions. With almost 3,000 colleagues in more than 100 countries we are facing a steady commercial growth to help creating products and therapies that transform people lives.

Project Purpose and Activities:

• The program will allow for education and specific trainings on the trial design, conduct, data analysis and will learn regulations and medical strategies. The trainee will execute cross-functional activities to ignite LivaNova medical excellence.
• Provide statistical support for clinical trials including study design and authoring statistical analysis plans Clinical Safety
• Support programming activities for clinical activities, outputs, validation and documentation
• Support the integration of R for publications
• Support senior programmers for validation activities

Requirements:

• Degree in Biomedical Engineering, Biotechnology, Statistics, Biostatistics, Pharmacy.
• Fluent English is mandatory
• Methodological mindset and accuracy attitude
• Good knowledge of statistical computer programs like SAS or R

LivaNova values equality and celebrates diversity: we are committed to ensuring our recruitment process and procedures are fair, transparent and free from unlawful discrimination.

Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of the candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.