The Roche Clinical Pharmacology team in Basel is hiring a pharmacometrician to support the Oncology clinical development. The candidate will have 5 or more years of experience in a similar role and will have demonstrated her/his scientific edge through peer-reviewed publications and oral communications in international congresses. Mastering the state-of-the-art modeling and simulation techniques are needed. Programming skills required included: R + NONMEM or Monolix. Bayesian savvy modelers are most welcome! Please express your interest via https://www.linkedin.com/jobs/view/710683705/ .
Yes, there is. Most of the (emprical) disease progression models developed in clinical development by pharmacometrician can/could be coded in rstan. The idea of going bayesian is to leverage as much legacy data as possible to guide the project team in the design and/or analysis of the new clinical trial data. Hope that address your question. Best regards, Francois
Sounds good! Thanks for clarifying.
Stan’s been used in a lot of pharmacometric applications since our first clunky integration of Boost’s ODE solver. We’ve come a long way since then with efficiency and precision, especially for stiff systems and steady-state solutions and efficient linear-system solvers.
I have been following the development of Stan for a few years now and I have been quite impressed by its progress both in terms of methodology and uptake in various domains such as pharmacometrics. A big thank you to the Stan core team for the time, energy and enthusiasm in proposing this solution.
Thanks for sharing that! Hope you find someone good for that job.