A career at our company is an ongoing journey of discovery: our 57,000 people are shaping how the world lives, works and plays through next generation advancements in healthcare, life science and performance materials. For more than 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others.
Your role:
As a Real World Data Analyst (all genders) within the Global Epidemiology team, you will contribute to translating research question into meaningful study design and state-of-the-art analytical approach (under the supervision of the study scientist if needed. Furthermore, you take ownership of the data analysis aspects towards the concept sheet/ protocol/ analysis plan with accurate, logical, clear, concise and thorough statistics section, database choice or effective CRF specifications to prospectively collect data specified in the protocol. If outsourced, you support the study lead/ epidemiologist in charge of the study in all analytical activities outsourced to external parties including scope of work development, project milestones related to analytical activities, timelines, and deliverables. You contribute to integrated analysis plans (under the supervision of the study scientist if needed), provide analysis dataset specifications, and perform statistical analyses, in close collaboration with the study lead/ epidemiologist and the study scientist (if needed) in charge of the study. Additionally, for NIS reports and publications, xou contribute to statistical methods sections for the reports/ publications; review and co-author these reports/ publications. You participate in the assessment of possible RW data sources to be licensed-in/ purchased and of additional analytical tools, in close collaboration with relevant functions; keep abreast of analytical/ methodological developments, appropriate regulations, guidance documents, to provide sound and up-to-date methodological recommendations to NIS analyses.
You understand and follow all Global Biostatistics & relevant Epidemiological SOP/WIs as well as any other relevant SOP/WIs, especially in the maintain of records for all assigned projects and archiving of project analysis, as well as associated documentation. You contribute actively to achievement of team goals.
Who you are:
* MSc or PhD in Statistics, Biostatistics or related discipline
* Comfortable in Business English
* At least 3 years’ experience in the Pharmaceutical/ Biotechnology industry in analyses of large RW datasets from automated healthcare databases (EMR and/ or claims data) or RW field studies
* Working experience with SAS /R and strong expertise and knowledge of relevant regulatory guidelines applicable to NIS, and more specifically to post authorization safety/efficacy studies
* Knowledge of coding systems used in healthcare and pharmacovigilance databases (e.g., ICD 9/ 10, CPT, HCPCS, READ codes, ATC classification, MedDRA…)
* Familiarization with or ability to develop an understanding of relevant therapeutic areas • Some epidemiological knowledge would be a plus
What we offer: With us, there are always opportunities to break new ground. We empower you to fulfil your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!
Curious? Apply and find more information at https://jobs.vibrantm.com