Data Science
Role details
Job location
Tech stack
Job description
- 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., 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
Requirements
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, 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. All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law., * 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, 3E991-air-force 15A1N-air-force 61C3Q-air-force 7S011-air-force 43T4F-air-force 7S0X1-air-force 7S071-air-force 61C3P-air-force 15A3Y-air-force, 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: hr.de@boehringer-ingelheim.com Recruitment process: Step 1: Online application - The job posting is presumably online until February 12th, 2026. Step 2: Virtual meeting mid of February 2026 Step
Benefits & conditions
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. All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law. Postdoc - Evidence Synthesis for Decision Making in HTA & MA Germany DEU None None Ingelheim Boehringer Ingelheim Postdoc - Evidence Synthesis for Decision Making in HTA & MA Postdoc - Evidence Synthesis for Decision Making in HTA & MA Postdoc - Evidence Synthesis for Decision Making in HTA & MA postdoc-evidence-synthesis-for-decision-making-in-hta-ma/jobs-in::Postdoc - Evidence Synthesis for Decision Making in HTA & MA postdoc-evidence-synthesis-for-decision-making-in-hta-ma/jobs-in::Postdoc - Evidence Synthesis for Decision Making in HTA & MA postdoc-evidence-synthesis-for-decision-making-in-hta-ma
