Senior/Principal Scientist, Pharmacometrics

About the Company:

EPM Scientific is currently partnered with a global leading biomedical engineering establishment that's been instrumental in advancing drug development programs. They provide deep strategic decision-making support and innovative solutions at the intersection of data, science, and technology. This organization is currently collaborating with over 200 venture's on more than 900 projects.

About the Role:

We're seeking to connect with an experienced and highly motivated Senior Scientist with expertise in Pharmacometrics to join our innovative team. The successful candidate will play a pivotal role in advancing our drug development programs by providing quantitative insights and modeling expertise to optimize therapeutic strategies.

Key Responsibilities:

• Pharmacometrics Modeling: Develop and apply population pharmacokinetic (PopPK) and pharmacodynamic (PD) models to support drug development and regulatory submissions.
• Data Analysis: Perform data analysis and interpretation using advanced modeling and simulation techniques to inform dose selection, study design, and decision-making processes.
• Cross-Functional Collaboration: Collaborate with clinical pharmacology, biostatistics, regulatory affairs, and other teams to integrate pharmacometric analyses into overall drug development strategies.
• Regulatory Support: Prepare and review regulatory documents, including model-based drug development plans, and contribute to regulatory interactions and submissions.
• Mentorship: Provide guidance and mentorship to junior scientists and contribute to the development of best practices and methodologies within the team.
• Innovation: Stay abreast of the latest scientific advancements in Pharmacometrics and contribute to the development of new modeling approaches and tools.

Qualifications:

• Education: Ph.D. in Pharmacometrics, Pharmaceutical Sciences, Pharmacokinetics, or a related field.
• Experience: Minimum of 5 years of relevant experience in Pharmacometrics within the pharmaceutical or biotechnology industry.
• Technical Skills: Proficiency in pharmacometric modeling software (e.g., NONMEM, Monolix, Phoenix NLME) and statistical analysis tools (e.g., R, SAS).
• Communication: Excellent written and verbal communication skills, with the ability to present complex data clearly and effectively to diverse audiences.
• Collaboration: Strong interpersonal skills and the ability to work effectively in a collaborative, team-oriented environment.
• Problem-Solving: Demonstrated ability to think critically and solve complex scientific problems.