Biologist - Paris, France - Barrington James

Description

My client, a pioneering Biotech company dedicated to revolutionizing cancer treatment.

By integrating cutting-edge biology with data-driven and AI-powered analysis, they position themselves at the forefront of enhancing novel anti-cancer therapies.

Their approach spans cell biology, engineering, and machine learning.

As a Principal Computational Biologist , you will be responsible for shaping and executing the company's computational biology roadmap.

Your key responsibilities will include:

Spearheading target discovery initiative.
Leading the development of biomarker design and discovery strategy.
Collaborating closely with a team of scientists on internal R&D projects.
Regularly presenting scientific endeavors to external collaborators and the broader scientific community.
Constructing multi-modal analysis pipelines that combine patient and PDO-derived omics data with wet-lab findings.
Working hand-in-hand with cell culture and data management teams to streamline genomics and experimental data workflows.

This role entails substantial ownership of research projects and has the potential to transition into a pivotal management position within the company.

Your Background:
PhD in computational biology, machine learning, or a relevant field.
Minimum of 3 years' practical experience in spearheading AI-driven research initiatives.
Demonstrated track record of accomplishments in the field, encompassing publications, conference presentations, contributions to open-source libraries, and more.
Profound expertise in omics data analysis, including RNAseq, scRNAseq, and similar techniques.
Proficient user of Python / R programming languages.
Outstanding collaboration and communication abilities.


Desirable Qualifications:
Familiarity with modern code development tools (DevOps experience is a plus)
Thorough comprehension of contemporary machine learning methodologies and their mathematical foundations, with the capability to translate these into clinical or biological insights for our laboratory-based team
Proficiency in engineering change control processes and/or software version control (e.g., Git, VSS)
Enthusiasm for the convergence of data, biology, and clinical applications.

Following your application, Jay Robins, a specialist AI recruiter will discuss the opportunity with you in detail.

He will be more than happy to answer any questions relating to the industry and the potential for your career growth.

The conversation can also progress further to discussing other opportunities, which are also available right now or will be imminently becoming available.

This position has been highly popular, and it is likely that it will close prematurely. We recommend applying as soon as possible to avoid disappointment.