14 oct
|
Westinghouse Electric Company
|
España
14 oct
Westinghouse Electric Company
España
Programmer (SAS & R) with German - Spain-based (remote/hybrid)
Madrid, Spain
Full time
R
We are looking for a highly motivated
HTA Programmer
(Analyst/Consultant) to support health technology assessment (AMNOG) and market access activities in Germany.
A substantial part of the role involves statistical programming.
Contribute to the development of German AMNOG dossiers, with a focus on programming of statistical analyses for Module 4
Perform scientific assessment and analysis of clinical trial data, including analysis of efficacy, safety, patient?relevant endpoints, and subgroup analyses
Perform meta?analyses and indirect treatment comparisons and support interpretation of statistical outputs
Contribute to the automation and standardization of analysis workflows to ensure efficiency, consistency, and reproducibility
Collaborate closely with cross?functional teams (Market Access, HEOR, Medical Affairs, EU?HTA Team)
Ensure scientific quality, clarity, and consistency of generated outcomes
Monitor and interpret methodological developments from IQWiG, G?BA, and relevant HTA bodies
Key Responsibilities
Statistical programming of clinical trial data
Statistical programming of economic data
Design and run SQL queries
Your Profile
Education & Technical Background: Master's degree or PhD in biostatistics, data science, or a related field
Initial experience in HTA, AMNOG, HEOR, or Market Access (industry, consultancy, or research institute preferred) and/or in clinical development
Solid understanding of clinical study designs, endpoints, and statistical principles
Familiarity with clinical study data and the corresponding industry standards (CDISC SDTM/ADaM)
Familiarity with the German AMNOG process, IQWiG methodology, or G?BA procedures is an advantage
Skills
Strong analytical skills and attention to detail
Ability to translate complex data into clear and structured output
Affinity for data and excellent analytical and conceptual skills
Strong background in statistics/data s
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