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Boehringer Ingelheim Principal Scientist - Pharmacometrics in Ingelheim, Germany

THE POSITION

Are you passionate about applying your pharmacometric skills, strategic thinking, and practical experience in data science? Would you like to join cross-functional clinical development teams, and do you feel like expanding your influence and deepening your knowledge in data science approaches beyond pharmacometrics?

You will also have the exciting prospect of acting as the pharmacometrics lead (PMx lead) in our clinical development project teams to fulfill our vision of turning data into knowledge. As PMx lead, you’ll have the chance to shape and contribute to projects already prior to first-in-man clinical trials.

We are offering an exciting opportunity in our global Translational Medicine & Clinical Pharmacology (https://careers.boehringer-ingelheim.com/biberach/what-we-do/value-chain/innovation-unit/tmcp) (TMCP) department located in Biberach an der Riss ( xplorebiberach.com ), our biggest R&D site, or at our headquarters in Ingelheim.

If you would like to learn more on the vision and mission of our TMCP Data Science department, please see below in TMCP Data Science Section.

This position can be filled in Ingelheim or Biberach.

Tasks & responsibilities

  • As a Principal Scientist in Pharmacometrics, you will develop the pharmacometrics strategy and identify opportunities where pharmacometrics and other advanced data analytic approaches can further the understanding of pharmacological activity, efficacy and safety of a drug.

  • You will join cross-functional clinical development teams as the PMx lead where you work in close alignment with other team members and data science subject matter experts and are responsible for the PMx data and data analysis strategy and advising clinical development teams on opportunities and limitations of pharmacometrics approaches.

  • Furthermore, you will be responsible for the planning and execution of relevant pharmacometric analyses to support internal decision making, disease understanding and successful approval.

  • You will ensure the timely delivery of respective data analysis documents (e.g., dataset specification, analysis plans, and reports) and documents where you are co-author (e.g., clinical development plans).

  • Moreover, you will organize and manage projects with external organizations such as academic institutions or CROs.

  • You will continuously evaluate and implement novel pharmacometric approaches and may support or drive the development of quantitative methodological approaches, pharmacometrics (software) tools, and related business processes.

  • You will represent PMx/TMCP Data Science in internal and external initiatives/working groups such as focus groups in your therapeutic area of expertise, across department initiatives, process harmonization, IMI calls, ISoP groups, Open Systems Pharmacology.

Requirements

We expect a strong team player, who is able to successfully act in the global and remote context. Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g., CROs, experts, management) and the ability to pro-actively identify issues and solutions and to interact with internal and external bodies on TMCP data science issues are a pre-requisite.

  • PhD., MD or master’s degree from an accredited institution in Medicine, Pharmacometrics, Data Science, Clinical Pharmacology, Pharmacy, Mathematics, Biology, Statistics or equivalent area of focus

  • Multi-years of relevant experience in Pharmacometrics/Data Science in the pharmaceutical industry, CROs, regulatory agencies, or academia

  • Several years of relevant experience in working in clinical development teams

  • Broad knowledge in applying PMx software (e.g., NONMEM, Monolix, R, PBPK software) and approaches

  • Solid knowledge in other data science fields, clinical pharmacology, clinical drug development, MID3, and regulatory guidelines

TMCP Data Science

Within TMCP Data Science we are focusing on improving disease, biomarker and drug understanding through modern data science approaches, including bioinformatics, systems pharmacology, pharmacometrics, data enablement and data engineering.

To implement our vision of turning data into knowledge, we utilize our scientific expertise in key data science approaches and act as Data Science Leads in development project teams. In this role you will be a main contact for data science related questions supported by the whole TMCP Data Science group. You will join the clinical development team approximately two years before first-in-man clinical trials and support projects until successful regulatory approval and beyond.

We inspire and empower data scientists within TMCP to shape the future of Data Sciences at BI and value a culture of sharing knowledge, pro-active contributions, and feedback combined with a positive “how to” attitude also in challenging situations. Within TMCP Data Sciences you will have the opportunity to actively contribute or lead internal and external working groups/initiatives focusing on e.g. disease strategies, innovative methods, standardization and processes. Thus, you will have a major impact on our future clinical drug development programs, thereby actively contributing to the availability of breakthrough therapies that will increase human health.

Seize the opportunity and apply as Senior Scientist in Pharmacometrics at Boehringer Ingelheim.

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

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.

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