Senior Machine Learning Engineer, Owkin

Salary not provided

Python

Linux

Tensorflow

PyTorch

Git

Mid and Senior level

London

Paris

Remote from France, UK

AI-driven precision medicine

Job no longer available

AI-driven precision medicine

201-500 employees

HealthcareB2BArtificial IntelligenceMedTech

Job no longer available

Salary not provided

Python

Linux

Tensorflow

PyTorch

Git

Mid and Senior level

London

Paris

Remote from France, UK

201-500 employees

HealthcareB2BArtificial IntelligenceMedTech

Company mission

To connect the global healthcare industry through the safe and responsible use of data and application of AI, for faster and more effective research and drug development.

Job

Company

Role

Who you are

PhD or engineering degree in Computer Science, Electrical Engineering, Physics, Mathematics, Statistics or any other related field
At least 3 years of software development experience within a team or open-source project with expertise in Python ; strong grasp of programming best-practices (e.g. code clarity, documentation, git, etc.)
Strong analytical skills with demonstrated ability to quickly adapt to research topics and domains ; a collaborative mindset in a research environment is a must
At least 3 years experience in ML, Data Science, MLOps or Software engineering
Experience in production environments: Documentation / Specification, Unit tests, Deployment, Packaging, Code optimisation
Ability to communicate ideas in a concise and precise manner
Experience managing multi-stakeholder research projects
Knowledge and familiarity of machine learning fundamentals. Proficiency with Machine Learning and Deep Learning frameworks (PyTorch, Tensorflow,, etc.)
Development experience in Linux/Unix-like environments

Desirable

Commercial experience of software development experience is 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
Cloud experience

What the job involves

Work on 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

Our take

Finding the right treatment for patients is essential for saving lives, with some patients reacting differently to drugs and treatments than others with the same health issues. Whilst the analysis of medical data and advice from experts can help healthcare workers pinpoint personalized treatments, accessing such resources is difficult for most biopharma companies and treatment providers.

Owkin provides AI-driven precision medicine services for biopharma companies and treatment providers, leveraging AI to analyze medical data at scale to create interpretable AI assistants for the answering of research questions. These AI assistants are complemented by insights from worldwide and in-house medical experts to inform personalized treatments, novel drug discoveries, and healthcare collaboration.

Whilst the application of AI to medical data analysis is becoming increasingly common in the healthcare industry, Owkin stands out with its approach to designing bespoke AI research assistants driven by human expertise. Through this method, the company claims it can make large datasets of medical records more accessible and interpretable, facilitating personalized medical treatments, medical knowledge collaboration, and novel drug discovery.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

64% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 6 rounds)

Jan 2025

$144m

LATE VC

Jan 2024

$103m

LATE VC

Total funding: $706.3m

Company benefits

Flexible work organization
Friendly and informal working environment
Opportunity to work with an international team with high technical and scientific backgrounds

Company HQ

Flatiron District, New York, NY

Leadership

Thomas Clozel

(Co-Founder & CEO)

Previously a Research Fellow for Weill Cornell Medical College. They also spent time as a Clinical Assistant Professor for CHU Henri Mondor De Créteil from 2012 to 2014.

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