Principal Scientist Preclinical PK/PD Modelling Oncology Research (m/f/d)
Boehringer Ingelheim GmbH, New Bremen, OH, United States
Principal Scientist Preclinical PK/PD Modelling Oncology Research (m/f/d)
The Position
We are seeking a talented and engaged Pharmacokinetics/Pharmacodynamics (PK/PD) Modelling scientist to join our Vienna Discovery Research Team for Oncology Research. In your role, you will collaborate to enable decisions regarding study designs in drug discovery, the selection of clinical drug candidates, and predicting the human efficacious dose to ultimately improve the life of cancer patients. We are looking for an open‑minded PK/PD modelling professional who thrives in an interdisciplinary, global environment.
Tasks & responsibilities
Representing preclinical PK/PD modelling in discovery research NCE (New Chemical Entities) and NBE (New Biological Entities) project teams in oncology research at Boehringer Ingelheim (e.g., small molecules, PROTACs, antibodies, TCEs, ADCs).
Collaborating closely with our oncology research teams located in Austria, Germany, and the US, turning modelling insights into practical research hypotheses, human efficacious dose prediction strategies, and driving the application of PK/PD to guide decision-making.
Contribute to informative preclinical PK and/or PD study designs, provide human PK and efficacious dose predictions, assess PK/PD relationships and DMPK properties of candidate drugs, and translate preclinical findings in close collaboration with clinical pharmacology and preclinical development.
Providing mentorship and fostering the professional growth of (junior) research scientists, including for instance master and PhD students.
Represent and promote impactful applications of preclinical PK/PD modelling both internally and externally at Boehringer Ingelheim, and—depending on your level of experience—lead and coordinate Research DMPK activities within international project teams.
Requirements
PhD in clinical pharmacometrics, preclinical PK/PD modelling, or any closely related field. A post-doctoral or industry experience is considered beneficial.
Alternatively, a PhD in related fields (such as applied mathematics) with extensive pharmacometrics experience in academia and/or industry and DMPK.
Solid skills in at least one relevant programming language (R, Python, MATLAB) and strong English communication skills.
Motivation to learn, collaborate in international teams and to invest into your personal development
First experience in working in and leading matrix-style project teams is considered beneficial
Flexible working time models:
home office and flexible working hours, depending on department and position – many things are possible with us.
Additional days off (“bridge-days”):
more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.
Canteen & Cafeteria:
whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
Learning & development:
diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
Health promotion:
health is important to us – that's why we offer different programs to promote physical and mental health.
Public transport ticket:
we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!
The remuneration for this position starts at EUR 81.810 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.
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The Position
We are seeking a talented and engaged Pharmacokinetics/Pharmacodynamics (PK/PD) Modelling scientist to join our Vienna Discovery Research Team for Oncology Research. In your role, you will collaborate to enable decisions regarding study designs in drug discovery, the selection of clinical drug candidates, and predicting the human efficacious dose to ultimately improve the life of cancer patients. We are looking for an open‑minded PK/PD modelling professional who thrives in an interdisciplinary, global environment.
Tasks & responsibilities
Representing preclinical PK/PD modelling in discovery research NCE (New Chemical Entities) and NBE (New Biological Entities) project teams in oncology research at Boehringer Ingelheim (e.g., small molecules, PROTACs, antibodies, TCEs, ADCs).
Collaborating closely with our oncology research teams located in Austria, Germany, and the US, turning modelling insights into practical research hypotheses, human efficacious dose prediction strategies, and driving the application of PK/PD to guide decision-making.
Contribute to informative preclinical PK and/or PD study designs, provide human PK and efficacious dose predictions, assess PK/PD relationships and DMPK properties of candidate drugs, and translate preclinical findings in close collaboration with clinical pharmacology and preclinical development.
Providing mentorship and fostering the professional growth of (junior) research scientists, including for instance master and PhD students.
Represent and promote impactful applications of preclinical PK/PD modelling both internally and externally at Boehringer Ingelheim, and—depending on your level of experience—lead and coordinate Research DMPK activities within international project teams.
Requirements
PhD in clinical pharmacometrics, preclinical PK/PD modelling, or any closely related field. A post-doctoral or industry experience is considered beneficial.
Alternatively, a PhD in related fields (such as applied mathematics) with extensive pharmacometrics experience in academia and/or industry and DMPK.
Solid skills in at least one relevant programming language (R, Python, MATLAB) and strong English communication skills.
Motivation to learn, collaborate in international teams and to invest into your personal development
First experience in working in and leading matrix-style project teams is considered beneficial
Flexible working time models:
home office and flexible working hours, depending on department and position – many things are possible with us.
Additional days off (“bridge-days”):
more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.
Canteen & Cafeteria:
whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.
Learning & development:
diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.
Health promotion:
health is important to us – that's why we offer different programs to promote physical and mental health.
Public transport ticket:
we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!
The remuneration for this position starts at EUR 81.810 gross annual target salary per year (full time). The actual salary package depends on professional experience and qualifications. We will be happy to discuss further details in person.
#J-18808-Ljbffr