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PhinC Development in Massy, France is seeking a PBPK modeling specialist to develop and validate models for preclinical and clinical data. This role involves collaboration with teams and rigorous quantitative analyses for regulatory submissions.
Candidates should have a Ph.D. in pharmaceutical sciences or a related field, with at least 2 years of postdoctoral experience. The position offers attractive compensation, remote work options, and a supportive work environment.
2 years of postdoctoral experience in preclinical/translational PBPK modeling in the pharmaceutical industry or at a CRO (3-5 years of post-degree experience if holding a PharmD or master’s degree)
PhinC was founded in 2008 by four scientists and has been a pioneer in the use of modeling methods for Phase I clinical drug development. PhinC is a scientific consulting firm specializing in drug development supported by modeling approaches.
With expertise in PK/PD, PBPK, biostatistics, and regulatory strategy, our approach is based on:
Based in Massy (a suburb of Paris), with a subsidiary in Montreal (Canada), PhinC works with partners around the world.
At PhinC, your professional fulfilment is our priority. We support you in developing your career within the company, where you can take on professional challenges in a respectful and friendly environment where everyone is valued.
This position allows for remote work up to two days a week, in accordance with company policy.
We offer attractive compensation and benefits, health and life insurance, 8 days of RTT and 25 days of annual leave, participation to public transportation card, gift cards, and preferential access to online CSE platforms.
A PBPK modeling specialist capable of translating preclinical complexity into clinical predictions using quantitative approaches that are both rigorous and pragmatic. You can clearly communicate the conclusions of your models. You like to work in collaborative environments where your analyses directly influence development decisions. You understand that effective modeling requires both scientific rigor and the ability to build trust and credibility with stakeholders.
Preferably a Ph.D. in pharmaceutical sciences, computational biology, applied mathematics, or a related quantitative field (PharmD or master’s degree in a related field)