Postdoc in ML for Integrative Genomics (Single-Cell)

Institut Pasteur; Paris; On-site; EUR 30,000 - 40,000; Full time

Job summary

Institut Pasteur in Paris invites applications for a Postdoctoral position in Machine Learning for Integrative Genomics. The successful candidate will develop ML methods for single-cell data and collaborate with team members.

Applicants should have a PhD in CS, ML, or computational biology, strong Python skills, and experience with single-cell data; fluency in English is required and autonomy and communication skills are valued.

Qualifications

• Strong background in machine learning or statistics.
• Proficient in Python programming.
• Familiarity with single-cell data and existing methods/software is a plus.
• Excellent communication skills and ability to work autonomously.
• Fluent English in speech and writing is required.

Responsibilities

• Develop machine learning methods for single-cell data.
• Collaborate with team and external collaborators.
• Contribute to methodological advances in integrative genomics.

Skills

Machine learning

Python

Single-cell data analysis

Communication

English proficiency

Education

PhD in computer science, ML, or computational biology

Tools

Single-cell analysis software

Job description

Institut Pasteur in Paris invites applications for a Postdoctoral position in Machine Learning for Integrative Genomics. The successful candidate will develop ML methods for single-cell data and collaborate with team members.

Applicants should have a PhD in CS, ML, or computational biology, strong Python skills, and experience with single-cell data; fluency in English is required and autonomy and communication skills are valued.