Postdoc Comparative Effectiveness Methodology in Decision Making in HTA & MA Full-time

The Position

Join Us in Shaping the Future of Data Science at Boehringer Ingelheim!

Biostatistics and Data Sciences (BDS) is a global powerhouse with over 350 experts driving smart, timely, and confident decision-making across drug development, approval, and access. Working closely with internal teams and external partners, we combine cutting-edge data science with business and scientific expertise to make a real impact.

As we transform BDS into a modern data science organization that leads and inspires in a rapidly evolving environment, we are looking for passionate professionals to strengthen our statistical capabilities in Health Technology Assessment (HTA) and Market Access (MA).

Ready to innovate, collaborate, and grow with us? Apply now and become part of our dynamic, forward-thinking team!

This position can be filled in Ingelheim or Biberach

This position has a hybrid setup with regular work from the site.

Postdoc: This position is limited for 2 years. Note: To make it easier to find our job advertisements, we use the usual designation “postdoc”. Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates.

Tasks & Responsibilities

In your new role, you will collaborate with statisticians and data scientists, provide statistical-methodological expertise and develop methodologically sound, pragmatic solutions to enable informed decision-making for HTA and MA using individual and aggregated data from randomized clinical trials.

You will evaluate, adapt, and enhance complex statistical methods to robustly demonstrate the efficiency and additional benefits of our products within diverse market access, payer, and healthcare-system settings. By prototyping and developing ready-to-use toolkits including manuals and deployment guides, you will ensure their availability to our business.

Furthermore, you will provide and contribute to the development of applied statistical-methodological learning modules.

You will define and supervise the technical and scientific work of interns and students at the bachelor and master level and contribute to their professional journey.

Moreover, you will compellingly present your insights and quantitatively illustrate their application in clinical development to both internal stakeholders and the scientific community.

Additionally, you will contribute with your expertise to cross-functional working groups, industry collaborations and partnerships with academic experts.

Requirements

PhD in Statistics, Mathematics, or a related field (e.g., Psychology, Epidemiology) with proven technical expertise in hierarchical and multilevel modelling frameworks and their application to areas such as meta-analysis or network meta-analysis

Knowledge of modern methodological concepts relevant to comparative effectiveness (e.g., population-adjusted indirect comparisons causal inference, uncertainty quantification) is a plus

Strong proficiency in statistical programming (preferably R) and experience with tools like Quarto and R-Shiny; ability to implement complex statistical concepts

Experience in the evaluation and research of statistical methodology

Experience in data visualization and storytelling to communicate insights effectively

Ability to provide statistical consultancy and deliver training on advanced methods; experience in cross-disciplinary collaboration is an advantage

Solid understanding of clinical development processes and demonstrated ability to work in a global, matrix environment

Excellent interpersonal and communication skills with fluency in written and spoken English

Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process.

Ready to Contact Us?

If you have any questions about the job posting or process – please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com

Recruitment process:

Step 1: Online application – The job posting is presumably online until April 13, 2026. We reserve the right to take the posting offline beforehand. Applications up to April 6, 2026 are guaranteed to be considered.

Step 2: Virtual meeting ongoing till end of April 2026

Step 3: Virtual interviews beginning of May 2026

Please include the following documents when applying for this position: Application letter Please submit your application documents in English.