Jobs for People with MS: National MS Society

The Position

Boehringer Ingelheim is expanding its Systems Pharmacology team in the global Translational Medicine & Clinical Pharmacology Data Science (TMCP DS) group in Biberach and Ingelheim, Germany. TMCP DS's mandate is to enhance disease understanding by maximizing knowledge generation from data through integrative and holistic data analyses and to collaborate with our neighboring functions in decision making for clinical development programs.

As a member of the Clinical Bioinformatics and Systems Pharmacology team you will contribute to our drug development teams, engage with stakeholders and interact in a highly interdisciplinary environment with colleagues from biomarkers, bioinformatics, pharmacometrics, clinical pharmacology, as well as medicine and research.

Become part of our team and make an important contribution to the effectiveness and safety of drugs, a deeper understanding of disease mechanisms and the selection and characterization of biomarkers!

This position can be filled in Ingelheim or Biberach.

This position is limited for 2 years.

Tasks & responsibilities

• You will interact with project teams and coherently design the Systems Pharmacology strategy to understand drug-patient-disease relationships and to maximize therapeutic benefit of our investigational products.

• As an expert in your field, you will contribute to an interdisciplinary environment, partnering with biomarker experts, clinical pharmacologists and collaborating with various functions from our Research and Medical departments to plan, design, execute and appropriately document relevant analyses, thereby supporting internal decision making ultimately leading to successful approvals.

• Furthermore, you will understand pharmacology and biology related research questions and translate them into actionable mathematical modelling approaches.

• You will implement first-hand or support CRO implementation of mechanistic disease models which integrate public and proprietary datasets to improve understanding of the underlying biology in relation to proposed mechanisms of action, biomarkers and clinical endpoints.

• Moreover, you will clearly communicate modeling and simulation results to a non-modeler audience to enable profitable discussion and inform decision-making.

Requirements

• PhD in Systems Pharmacology, Engineering, Physics, Computer Sciences, Bioinformatics, Mathematics, Statistics or a related life sciences field

• First industry experience in applying mathematical modeling and implementing Systems Pharmacology projects is a plus

• Solid knowledge of systems pharmacology modeling activities and knowledge of biology, physiology and pharmacology

• Experience in one of Boehringer Ingelheim’s key therapeutic areas is a plus (Inflammation, Cardio-Renal-Metabolism, CNS, Retinal Health)

• Proficient use of programming and data analysis software (e.g. R, MATLAB, Python, Julia) and modeling frameworks (e.g. SimBiology, SBML)

• Team player ideally with first experience working in cross-functional teams (global, multicultural and partially-remote)

• Excellent verbal and written communication skills in English, with expertise in production of formal modeling and simulation reports

Ready to contact us?

Please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330.

Recruitment process:

Step 1: Online application - application deadline is approximately July 4, 2024

Step 2: Virtual meeting in the period from beginning till mid of July

Step 3: On-site interviews mid till end of July

Discover our Biberach site: xplorebiberach.com

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.