Offers “Merckgroup”

Expires soon Merckgroup

PostDoc in Machine Learning

  • Internship
  • Lausanne, SWITZERLAND

Job description



PostDoc in Machine Learning

We’re currently looking for talented scientists with sound experience in Machine Learning (ML) techniques to join our Innovation Digital Lab based at the EPFL campus, Lausanne, Switzerland.

There is an immediate opening for full-time, 1-year (with optional 2nd year) post-doctoral fellowship 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 explore how AI/ML/deep learning (DL) can be used 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 AI/ML/DL domains.
·  Proficiency in programming languages supporting ML, like Python, R and C/C++. 
·  Some industry experience would be an asset, particularly in Life Sciences or Biopharma R&D.
·  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.

Job Requisition ID: 202108

Location: Lausanne

Career Level: B - Recent University Graduate(<1 year of experien

Working time model: full-time

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

Job Segment: Computer Science, Learning, R&D, Research Scientist, Technology, Research, Human Resources, Science

Make every future a success.
  • Job directory
  • Business directory