(Associate) Director Biostatistics, Health Technology Assessment (m/w/d) Pharma & Healthcare

IQVIA is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. We provide actionable insights and deliver innovative solutions that improve patient outcomes and advance healthcare. Join us in driving healthcare forward.

IQVIA is seeking an experienced Director Biostatistics for our HEOR-Team. This position is an expert role with a dedicated focus on HTA-related programming and statistics.

The successful candidate will be responsible for leading statistical analyses for AMNOG benefit assessments in Germany and for EU-HTA submissions, working closely with internal project teams and clients to ensure high-quality deliverables. This position involves applying advanced statistical methodologies and programming, producing quality-controlled outputs, and mentoring junior colleagues.

This role offers flexible working arrangements. The role can be a hybrid position at our location in Munich or Frankfurt am Main or fully remote with regular travel to Munich.

A competitive salary and benefits package is available to recognize and reward contributions.

Key Responsibilities:

• Apply innovative statistical approaches to address HTA-related data challenges.
• Lead the analysis of patient data from clinical, observational, and real-world trials for HTA submissions.
• Develop and review HTA-related analysis plans.
• Produce and quality control statistical outputs, summaries, and reports.
• Provide statistical guidance to project teams and clients on HTA submissions.
• Engage with clients to understand project requirements and ensure satisfaction.
• Conduct feasibility assessments of direct and indirect evidence for HTA decision making.
• Critically appraise the quality and reliability of data sources.
• Mentor, train, and guide junior colleagues.
• Contribute to internal training initiatives, process improvement, and business development.

Qualifications:

• The ideal candidate will possess a strong background in biostatistics, with relevant experience in HTA and programming.
• MSc/PhD in Statistics, Biostatistics, Mathematics, or a related field.
• Strong understanding of clinical drug development and HTA-related regulations and processes.
• Familiarity with statistical methodologies such as network meta-analysis (NMA), indirect treatment comparison (ITC), and matching-adjusted indirect comparison (MAIC).
• Proficiency in statistical software such as R and/or SAS.
• Excellent problem-solving abilities and attention to detail.
• Ability to work independently and collaboratively within a team.
• Fluent in written and spoken English.