OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Biostatistician , Gothenburg, Sweden
IQVIA’s Real-world Insights experts deliver deep insights derived from statistical analyses of healthcare data through direct access to the world’s most comprehensive healthcare information, analytic and research resources. Our RWI team is made up of multi-disciplinary professionals, representing a variety of epidemiology-related disciplines from around the globe, that specialize in cutting edge and innovative analysis of healthcare data. Our diverse mix of clients, the breadth of disease areas, as well as the increasing access to novel data sources and advanced statistical methodologies, provide a constant and rewarding challenge for our team.
We are
looking for a full-time STATISTICIAN/STATISTICAL
PROGRAMMER to our Gothenburg office in Sweden to support our Real-World
Evidence studies. Your responsibilities can include:
Contributing to planning of study designs for Real-World Evidence
(RWE) projects
Preparing statistical analysis plans
Planning and conducting of statistical analysis using advanced R
programming
Participate in meetings with clients, in discussions around
statistical methods and present analysis results
Contribute to writing methods and results sections to study
reports and publications
The exact responsibilities will be agreed individually based on
the background and preference of the new employee. With us you can be
challenged and develop in a collaborative learning environment where you can
have an impact on human health. We will support your development and career
progression by providing career path opportunities as a part of global
organization.
We are looking for candidates with the following qualifications:
An academic degree (MSc) in statistics, applied mathematics, or
related field
Applicable several years’ experience in programming statistical
analysis in R language for example within academia, pharmaceutical industry,
contract research organization, or other relevant organization
Experience of survival analysis and healthcare register data
Strong communication and interpersonal skills, including fluent
written and spoken English
Ability to work in several projects in parallel, often under time
pressure