Postdoc Position in Machine Learning for Integrative Genomics

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

Postdoc Position in Machine Learning for Integrative Genomics

Institut Pasteur Paris, France

The Machine Learning for Integrative Genomics team at Institut Pasteur, headed by Laura Cantini, works at the interface of machine learning and biology, developing innovative machine learning methods for single-cell data analysis.

Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities for machine learning to address outstanding biological questions.

The postdoc to be recruited will be working on the development of machine learning methods for single-cell data and will require interactions with collaborators of the team.

Required skills:

• We expect a candidate with a strong background in machine learning or statistics.
• The candidate must also be proficient in high-level languages like Python.
• Familiarity with single-cell date and experience with existing single-cell methods and software would represent a strong advantage.
• Excellent communication skills and team spirit, and an ability to work in autonomy are essential.
• Fluent English both spoken and written is required.
• The candidate must have a PhD in computer science, machine learning, or computational biology.