Állás részletei
-
Cég neve
Chinoin Zrt./ Sanofi SBS
-
Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Alkalmazotti jogviszony
- Általános munkarend
-
Elvárások
- Angol felsőfok
- 5-10 év tapasztalat
- Főiskola
Állás leírása
Company info
Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally.
Role Overview: As an RWE Data Analyst Expert, you'll play a crucial role in our Sanofi Business Operations team, supporting Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions globally.
Main responsibilities:
- Execute statistical and analytical analyses of pre-existing data to investigate research questions, utilizing strong background in statistics, programming, and observational research
- Lead "Conventional Projects" including disease epidemiology characterization, study feasibility assessment, and descriptive cohort analyses to inform key internal decisions
- Collaborate with cross-functional teams (HEVA, Medical Affairs, BO&S, Commercial) to deliver data-driven insights and maintain Sanofi data assets
- Serve as Subject Matter Expert (SME) for RWE analytics, developing deep understanding of Sanofi's digital tools and platforms
- Manage data assets through primary data collection, secondary source licensing, and de-identified clinical trial data maintenance
- Act as mentor and guide to new team members, providing support and knowledge sharing
- Partner with SGz functions and RWE group in the Chief Digital Office to ensure data integrity and optimal utilization of resources
About you
Experience and skills:
- 7+ years of experience in analyzing secondary patient data
- Expertise in business intelligence stacks and data visualization frameworks
- Strong background in statistics, statistical programming, and observational research
- Proficiency in R, SAS, Python, and/or PySpark
- Excellent communication and collaboration skills
Education:
- BA/BS + 7 years or MS/PhD + 5 years in a relevant quantitative field
Languages:
- Fluent in English
Why choose us?
- Bring the miracles of science to life alongside a supportive, future-focused team
- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave
How to apply
Apply via "Jelentkezem" button underneath!
Állás, munka területe(i)
Álláshirdetés jelentése
