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Strong employer brand and metro location increase competition, but specialized pharmacometrics skills reduce applicant pool.
Role demands deep pharmacometrics and clinical drug development expertise, limiting cross-industry transferability.
Explicit multi-level years requirement and niche pharmacometrics, NONMEM, and PK/PD expertise enforce strict shortlisting.
Develop and implement pharmacometric, PK/PD, quantitative systems pharmacology, and predictive modeling strategies to inform drug development programs.
Analyze clinical and preclinical pharmacokinetic and pharmacodynamic data to support dose selection, study design, and regulatory submissions.
Collaborate with cross-functional teams and external partners to integrate quantitative insights into clinical development decisions and communicate findings through reports and scientific presentations.
Doctorate degree with 4+ years relevant experience, or Master’s degree with 8+ years, or Bachelor’s degree with 10+ years experience.
Experience in pharmacometric modeling, PK/PD, population analyses, or clinical trial simulations demonstrated via hands-on model development or data analytics.
Proficiency with tools such as Python, R, MATLAB, NONMEM, SAS, or similar platforms for modeling and analytics.
Work Experience Required: 4+ years (with PhD) or equivalent; notice period not explicitly mentioned in the JD.
Experienced quantitative scientist skilled in applying pharmacometric and predictive analytics methods to complex biological and clinical datasets.
Comfortable integrating advanced data science techniques including machine learning or AI methods into drug development strategies.
Effective communicator able to convey quantitative analysis results to multidisciplinary audiences and contribute to scientific publications and regulatory documentation.