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
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