Postdoc - Evidence Synthesis for Decision Making in HTA & MA

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.

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 closely collaborate with statisticians and data scientists, provide statistical-methodological expertise and develop methodologically sound, pragmatic solutions to enable quantitative evidence integration for informed decision-making.


• You will evaluate, adapt and enhance complex statistical methods for a holistic evidence generation. By prototyping and developing ready-to-use toolkits including manuals and deployment guides, you will promote their implementation in 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 expertise in evidence synthesis methods such as meta-analysis, network meta-analysis (frequentist and Bayesian), and population-adjusted indirect comparisons


• Knowledge of modern methodological concepts relevant to evidence synthesis (e.g., causal inference, uncertainty quantification, Bayesian analysis, machine learning) 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

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: [email protected]
 
Recruitment process:
Step 1: Online application - The job posting is presumably online until February 4th, 2026. We reserve the right to take the posting offline beforehand. Applications up to January 29th, 2026 are guaranteed to be considered.
Step 2: Virtual meeting in the period from end of January until mid of February 2026
Step 3: In-depth interviews beginning of end of February/beginning of March 2026
 
Please include the following documents when applying for this position: CV & application letter

Please submit your application documents in English.