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Statistician (R1068500) in Milano, Italy at IQVIA™

Date Posted: 6/12/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    Milano, Italy
  • Date Posted:
    6/12/2019
  • Job ID:
    R1068500

Job Description

Join us on our exciting journey! IQVIA™ is The Human Data Science Company™, focused on using data and science to help healthcare clients find better solutions for their patients. Formed through the merger of IMS Health and Quintiles, IQVIA offers a broad range of solutions that harness advances in healthcare information, technology, analytics and human ingenuity to drive healthcare forward.

Data Science & Advanced Analytics – with departments in Frankfurt, Philadelphia, Paris, Milan, Madrid and Beijing as well as a network of more than 300 experts worldwide - is the global competence center for statistics at IQVIA. Data Science & Advanced Analytics is responsible for quality and further developments for the statistical procedures and methods used. The team is in charge for the maintenance and improvements mainly in the field of survey methodology and data quality assurance. More over the team executes statistical analyses of highest level to support international customers. Joining the Data Science & Advanced Analytics team provides the opportunity to work with large and complex data and methodologies in a fast-paced, ever-changing environment.  As a member of our team you can expect exciting international projects with interesting development perspectives.

Position Purpose:

Member of the Data Science & Advanced Analytics – CESE (Central, East and South Europe). Under broad guidance, you will provide expertise in developing and applying statistical methodologies to support set-up, implementation and maintenance of solutions for CESE Business Unit with a special focus on Southern Europe countries.

Principal Accountabilities:

  • Development and implementation of statistical algorithms to support new processes and offerings
  • Member of project team ensuring efficient and effective project delivery to meet project team and client expectations
  • Quantitative and qualitative analysis in collaboration with BU engagement manager and country local offices
  • Design and support for new innovative solutions for our pharmaceutical industry clients with focus on machine learning technologies – keywords: predictive analytics and “insight to foresight”
  • Share learnings and knowledge with broader team, including the global Data Science and Advanced Analytics team and broader local country organization.

What we are looking for:

  • Master degree in Statistics, Mathematics, Economics/Econometrics or related fields
  • At least 2 years of professional experience in quantitative data analyses, ideally with market research or health and life sciences project experience
  • Good knowledge of the statistical and econometric methods in theory and in practice (multivariate analyses, regression analyses, sampling etc)
  • Up-to-date in machine learning and data mining techniques as well as practical experience in predictive analytics
  • Very good knowledge in R/Python/SAS/SQL as well as proficiency in MS Office.
  • Strong analytical, interpretive and problem-solving skills
  • Attention to detail and ability to deliver high quality work within challenging timelines
  • A commitment to working independently and collaboratively with others in and across the team
  • Proven time management and personal organizational skills
  • Good communication and presentation skills.
  • Italian language skills (mother tongue) and fluency in English (spoken and written)

Learn more about the team here:  

https://www.youtube.com/watch?v=Wa86uM9kROk

We know that meaningful results require not only the right approach but also the right people. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. Whatever your career goals, we are here to ensure you get there! We invite you to join IQVIA™



Job ID: R1068500