We have a great Bioinformatics Lead R&D Engineer role, ideally based in Paris or London or one of our clients other European hubs. This has the opportunity to build and lead an engineering team fully dedicated to supporting our client's exciting Precision Medicine R&D programs

You should be passionate about code health, coding best practices and conducting implementations of POC research algorithms/ the creation of libraries of code for data loading:preprocessing

As our client's team are growing quickly, you will be able to grow your team and be able attract good ML engineers to your team

Our client has offices in London, Paris and other locations across Europe. You will need to get to their Paris office at least 2-3 days/ month for team collaborations and learning. 

As a Lead R&D Engineer, you will be engaged in many different subjects, ranging from applied biomedical research in oncology to more fundamental machine learning research topics. 

You'll work directly with the R&D Teams under the supervision of our SVP Data Science, collaborate and co-develop with the Data Platform and Diagnostics team across the organization.

In particular, you will:

Lead the development of our proprietary ML libraries & workflows in collaboration across the R&D team

Develop our image processing and bioinformatics pipelines in collaboration with R&D teams

Contribute to solutions to optimize the code for our innovative methodologies

Contribute to building the right environment for experiment management and reproducibility, and to managing the lifecycle of our AI models

Support prototype development & partner with our Data Platform engineers to help optimize selected prototypes

Help bring best practices in software development to a team of talented data and research scientists.

The position is located in Paris.

About you - we are ideally looking for someone with:

PhD or engineering degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or any other related field.

Software development experience within a team or open-source project with expertise in Python or another scientific computing language ; strong grasp of programming best-practices (e.g. code clarity, documentation, git, etc.) ; commercial experience a plus ;

Technical expertise in probability, statistics, optimization, scientific computing, bioinformatics would be a plus as well as knowledge in ML/deep learning concepts and implementation ;

Strong analytical skills with demonstrated ability to quickly adapt to research topics and domains ; a collaborative mindset in a research environment is a must ;

Ability to communicate ideas in a concise and precise manner ;

Experience managing multi-stakeholder research projects.

Good experience in ML, Data Science, MLOps or Software engineering

Experience in production environments: Documentation / Specification, Unit tests, Deployment, Code optimisation

Knowledge and familiarity of machine learning fundamentals. Proficiency with Machine Learning and Deep Learning frameworks (Tensorflow, PyTorch, etc.)

Development experience in Linux/Unix-like environments.

Cloud experience a plus.

What we offer

Competitive salary and equity;

Opportunity to work with an international team with high technical and scientific backgrounds;

Friendly and informal working environment;

Flexible work organization and access to remote work;

7 weeks of paid vacation per year (depending on where you are based);

Beautiful and well positioned offices in Paris (Petites Ecuries)

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