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Post Doc position at Boehringer Ingelheim on Bayesian methods in early clinical development

Dear all, for our statistical methodology group at Boehringer Ingelheim in Biberach we are looking for a Post Doc on Bayesian methods in early clinical development. Further information can be found in the link and below. For further information please feel free to contact me directly.

Kind regards

Frank Fleischer

https://tas-boehringer.taleo.net/careersection/global+template+career+section+28external29/jobdetail.ftl?job=189999&tz=GMT%2B02%3A00

Post Doc (f/m) Statistics on Bayesian methods in early clinical development

For the Methodology Statistics team we are looking for a post-doc interested in the application of Bayesian methods to early clinical development. You are highly motivated with a strong background in statistics/mathematics and excellent communication skills to investigate innovative approaches for early clinical development? You are interested to work and publish on questions around Bayesian dose finding, Bayesian basket designs, borrowing designs and Go / NoGo decision making? Then take the chance and apply at Boehringer Ingelheim located in Biberach. This position is limited for 2 years.

Tasks & responsibilities
•As post-doc you identify, develop and evaluate promising approaches in one or more of the following areas: Bayesian dose finding, Bayesian basket and umbrella designs, Bayesian borrowing designs, Bayesian decision making under uncertainty.
•Your investigations will lead to ready-to-use software, graphical user interfaces, technical reports and publications in collaboration with statistics colleagues within and outside of BI.
•In your new role you supervise students (master’s and bachelor’s level) on subtopics within the area defined above leading to internship reports, theses and related software. You network with related academic institutions.
•Furthermore you present your results at internal and external meetings and publish in peer-reviewed journals.
•You provide trainings on basic and advanced Bayesian methods to statistics and non-statistics colleagues within BI.
•Moreover you work in a stimulating environment, in collaboration with experts in the field and be part of the Methodology Statistics team at BI.

Requirements
•PhD degree in Mathematics/Statistics or related field
•Expert knowledge in Bayesian statistics and/or clinical development is a plus. Familiarity with techniques like BLRM-EWOC, Bayesian hierarchical modelling, joint models, ExNex, meta-analytic-predictive/ power priors is a plus
•Knowledge in R and a MCMC related tool like JAGS or STAN. Ideally experience with R-shiny and publication of R package
•Demonstrated track record of publications in scientific journals
•Fluency in English (written and spoken)

Note: To make it easy to find our job postings we use the customary title “post-doc”. Of course, this posting is not only addressed to applicants directly after completing their doctorate but to all qualified candidates.

Our benefits
•Flex-time and working remotely
•Good development opportunities with in-house education and various training options
•Personal Mentoring in onboarding
•Competitive salary plus bonus payment

About us

Improving the health and quality of life of patients is the goal of the research-driven pharmaceutical company Boehringer Ingelheim. The focus in doing so is on diseases for which no satisfactory treatment option exists to date. The company therefore concentrates on developing innovative therapies that can extend patients’ lives. In animal health, Boehringer Ingelheim stands for advanced prevention.

Family-owned since it was established in 1885, Boehringer Ingelheim is one of the pharmaceutical industry’s top 20 companies. Some 50,000 employees create value through innovation daily for the three business areas human pharmaceuticals, animal health and biopharmaceuticals. In 2017, Boehringer Ingelheim achieved net sales of nearly 18.1 billion euros. R&D expenditure, exceeding three billion euros, corresponded to 17.0 per cent of net sales. As a family-owned company, Boehringer Ingelheim plans in generations and focuses on long-term success, rather than short-term profit. The company therefore aims at organic growth from its own resources with simultaneous openness to partnerships and strategic alliances in research. In everything it does, Boehringer Ingelheim naturally adopts responsibility towards mankind and the environment.

Boehringer Ingelheim is an equal opportunity employer who takes pride in maintaining a diverse and inclusive workplace. We embrace all aspects of diversity and inclusion which benefit our employees, patients and communities. We look forward to receiving your online application!

Contact

For further information please contact Recruiting Services:

Mrs. Denise Schwegler, Tel: +49 (0) 7351/54-145528.
Mit freundlichen Grüßen / Kind regards,
Dr. Frank Fleischer

Boehringer Ingelheim Pharma GmbH & Co. KG
Biostatistics + Data Sciences Corp.
Tel.: +49 (7351) 54-2372
Mobil: +49 (151) 15020122
Fax: +49 (7351) 83-2372
mailto:frank.fleischer@boehringer-ingelheim.com

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