Associate/Senior Data Scientist in Machine Learning at Merck Quantitative Pharmacology

From: Nadia Terranova Date: November 10, 2021 job Source: mail-archive.com
About the job We're currently looking for talented scientists with sound experience in Machine Learning (ML) techniques to join Merck Innovation Digital Lab based at the EPFL campus, Lausanne, Switzerland. There is an opening for full-time, 1-year (with optional 2nd year) Data Scientist (from Associate to Senior depending on candidate level) in the application of Artificial Intelligence (AI) in Quantitative Pharmacology. Your Role In this role, you will apply your practical experience in mining and analyzing various kind of data, your deep understanding of ML algorithms, and programming skills to solve challenging real-world problems at a large scale. You will apply AI/ML/deep learning (DL) to enhance model-informed drug discovery and development. Projects may include, but are not limited to, the analysis of translational, biomarker and clinical data, use of ML to improve patient selection, exposure predictions, and trial designs. As highly motivated and intellectually curious scientist, you will work in a stimulating and engaging environment and have close interactions with cross-functional team experts in drug development. Who You Are * PhD in computer science, mathematics, engineering, or similar, with demonstrated experience and sharp skills in ML/DL domains. * Proficiency in programming languages supporting ML, like Python, R and C/C++. * Industry experience would be an asset, particularly in Life Sciences or Biopharma R&D. * Experience in PKPD mathematical modeling, particularly in Pharmacometrics, would be an asset. * Previous experience in scientific project management is a plus. * Fluent in English with good communication skills. * Demonstrated ability to work independently, be proactive and take ownership. * Strong problem-solving skills and ability to analyze complex problems. For more information: https://www.linkedin.com/jobs/view/2765518507/ Best Regards, Nadia Nadia Terranova, PhD Scientific Director Healthcare | Global Development | Translational Medicine | Quantitative Pharmacology [ https://evarooms.merckgroup.com/Location/Korea/Corporate%20Identity/Logo/MERCK%20Logo/MERCK_LOGO_Blue_RGB.png] 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]> | http://www.merckgroup.com/ Mandatory information can be found at 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 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 https://www.merckgroup.com/en/legal-disclaimer/mail-disclaimer.html to access the German, French, Spanish, Portuguese, Turkish, Polish and Slovak versions of this disclaimer. Please find our Privacy Statement information by clicking here https://www.merckgroup.com/en/privacy-statement.html