Administrativo/A De Seguridad Privada | Gestión Documental

Grupo Noa’s; Madrid; On-site; EUR 55,000 - 75,000; Full time

Job summary

Grupo Noa’s in Madrid, Spain, seeks a highly motivated HTA Programmer (Analyst/Consultant) to support German AMNOG dossiers and market access. The role emphasizes statistical programming for Module 4 and rigorous data analysis in clinical trials.

Ideal candidates are biostatisticians or data scientists with HTA/AMNOG/HEOR or Market Access experience, strong SAS and R skills, and fluency in German and English. CDISC SDTM/ADaM knowledge is a plus, and remote/hybrid work is available.

Qualifications

• Master's degree in biostatistics, data science, or a related field.
• Experience in HTA, AMNOG, HEOR or Market Access preferred.
• Solid knowledge of clinical study designs and endpoints.
• Familiarity with German AMNOG process and IQWiG/G-BA procedures.

Responsibilities

• Develop statistical analyses for German AMNOG modules, focusing on Module 4 programming.
• Analyze clinical trial data for efficacy, safety and endpoints.
• Perform meta-analyses and indirect treatment comparisons.
• Contribute to automation and standardization of analysis workflows.
• Collaborate with Market Access, HEOR, Medical Affairs and EU-HTA teams.
• Ensure scientific quality and clarity of outcomes.

Skills

Analytical skills

Attention to detail

Statistics / data science

Programming with SAS

Programming with R

Process automation

German language

English language

Biostatistics basics

Education

Master's degree in biostatistics

Master's degree in data science

PhD in biostatistics or related field

Tools

SAS

R

CDISC SDTM/ADaM

Job description

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. The role is ideally suited for **biostatisticians** or **data scientists** with a strong interest in applying clinical evidence to reimbursement and market access decision-making. A substantial part of the role involves **statistical programming**.

Key Responsibilities

• 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

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 sciences/programming** with a focus on **process automation**
• >2 years experience in advanced **SAS programming** , R programming skills are an advantage
• >2 years hands‑on clinical data analysis experience with **CDISC SDTM/ADaM** datasets
• **Solid understanding of core statistical methods** used in clinical trials and HEOR

Personal Competencies

• Structured, reliable, and quality‑driven working style
• Strong teamwork and communication skills
• Fluent **German and English** , written and spoken **(this is an absolute must)**