Applications are invited for a position as pharmacodynamics modeling specialist at the Precision Oncology Center of the Department of Oncology at CHUV, Lausanne, Switzerland. The successful applicant will join a motivated and unique multidisciplinary team of researchers working on data-centered precision oncology, including machine learning and image analysis approaches. The work will be in close collaboration with clinicians and scientists at CHUV and the Merck Institute for Pharmacometrics, as part of a collaborative project called "Real-World Tumor Dynamics". The objective is to create pharmacodynamics models for the effect of immunotherapeutic agents, based on tumor measurements from semi-automated analysis of medical images (PET/CT/MRI), and on treatment schedules and other clinical covariates for retrospective CHUV patients. This is one-year Post-doctoral position, but depending on the level of expertise of the candidate, this could be combined as part of a PhD program.
Qualifications: The candidate will have a recent PhD or at least a Master's degree in quantitative discipline like engineering, pharmacology, computational biology, applied mathematics, computer science, or a closely related field. The applicant is expected to have qualifications, genuine interest, proficiency and hands-on experience in the following topics: * Pharmacokinetics/Pharmacodynamics (PK/PD) modeling methods * Specialized Pharmacometrics software such as Monolix or NONMEM * Mathematical software such as R or Matlab Knowledge on medical information systems including ability to perform SQL queries, as well as expertise in data science and programming in Python or similar are assets. Proficiency in spoken and written English is mandatory. French is an advantage. Working Environment: The precision Oncology Center collaborates with the following entities * The Merck Institute for Pharmacometrics<https://www.merckgroup.com/en>, located at the EPFL innovation park. * Computational oncology & molecular modeling group<https://www.unil.ch/dof/home/menuinst/our-research-groups/michielin.html> of the Department of Oncology at CHUV, Lausanne: part of the elite research environment of the <http://www.sccl.ch/index.php> Swiss Cancer Center (SCC)<http://www.sccl.ch/index.php>. * Service of Nuclear Medicine and Molecular Imaging (SNMMI)<https://www.chuv.ch/fr/medecine-nucleaire/nuc-home/> at CHUV, Lausanne. * Service of Radiodiagnostic and Interventional Radiology<https://www.chuv.ch/fr/rad/rad-home/> at CHUV, Lausanne. The service is pushing forward infrastructure and expertise in machine learning at scale on radiology data * MedGIFT group<http://medgift.hevs.ch/wordpress/>, Institute of Information Systems, University of Applied Sciences Western Switzerland (HES-SO), Sierre: collaborating with CHUV on image analysis pipelines and radiomics. Salary: The offered salary is competitive, defined according to the Canton de Vaud compensation grids. More info and sending applications (by email): Applications should include a letter of motivation, a curriculum vitae, and names and addresses of two referees. If sufficient mutual interest develops then referees will be contacted to assure suitability for the position. Applications and enquiries should be addressed to: Dr. Michel Cuendet [email protected]<mailto:[email protected]> Best Regards, Nadia Nadia Terranova, PhD Associate Scientific Director Pharmacometry Biopharma | R&D | Development Sciences | Translational Medicine [cid:[email protected]] Merck Institute for Pharmacometrics | EPFL Innovation Park - Building I | CH-1015 Lausanne | Switzerland Phone: +41.58.432.3706 | Mobile: +41.79.447.2621 | E-mail: [email protected]<mailto:[email protected]> | www.merckgroup.com<http://www.merckgroup.com/> Mandatory information can be found at http://mandatories.merckgroup.com<http://mandatories.merckgroup.com/> Pflichtangaben finden Sie unter: http://www.merckgroup.com/mandatories Privacy Note: We are using your personal data for our current and potential future collaborations with you and will keep your data as long as we consider working with you. We use and collect contact data, data about professional qualifications, publications etc. and some of that data comes from public sources, especially websites (legal basis: Article 6 (1) b) and f) GDPR). You can find further information about data protection at Merck and your rights here<https://www.merckgroup.com/de/privacy-statement.html>. Please note that additional privacy notes may be applicable that provide further information about processing. This message and any attachment are confidential and may be privileged or otherwise protected from disclosure. If you are not the intended recipient, you must not copy this message or attachment or disclose the contents to any other person. If you have received this transmission in error, please notify the sender immediately and delete the message and any attachment from your system. Merck KGaA, Darmstadt, Germany and any of its subsidiaries do not accept liability for any omissions or errors in this message which may arise as a result of E-Mail-transmission or for damages resulting from any unauthorized changes of the content of this message and any attachment thereto. Merck KGaA, Darmstadt, Germany and any of its subsidiaries do not guarantee that this message is free of viruses and does not accept liability for any damages caused by any virus transmitted therewith. Click http://www.merckgroup.com/disclaimer to access the German, French, Spanish and Portuguese versions of this disclaimer.
