Data Scientist Intern - Clinical Group

Owkin is hiring!

About

Owkin is a French-American startup that uses AI and machine learning to augment medical and biology research. Its proprietary platform, Owkin Studio, uses machine learning technology to integrate biomedical images, genomics and clinical data to discover biomarkers and mechanisms associated with diseases and treatment outcomes, and improve clinical trials. The company develops scientific collaborations with top-tier medical institutions and partners with leading pharmaceutical companies. Owkin has developed a state-of-the-art federated learning technology in healthcare to overcome the sharing problems associated with medical data, building collective intelligence from distributed data at scale while preserving privacy and security.

Our data scientists are among the best in the world, with several Kaggle Masters, DREAM Challenge top performers, and publications in ICML, NIPS, Nature Medicine, and other top scientific journals. Owkin has raised a total of 18.1M$ with funds including Google Ventures, F-prime and Otium capital. To build this vision, Owkin is growing rapidly, with offices located in the USA, France and the UK.

Job Description

Owkin Lab is looking for a passionate data science intern for the Clinical Group in Paris.

The Clinical Group, at the confluence of statistics, machine learning and causality collaborates with Hospitals, Academics and Pharmaceutical companies to discover new insights, build models and develop new methodologies/algorithms on their datasets and scientific inquiries. The group’s focus is on text and clinical data, which excludes imaging and molecular data. The group collaborates tightly with other Lab groups for transversal projects and with the federated learning research group.

During the internship, you will build cardiovascular risk prediction models with clinical data from multiple international hospitals, working with the project team. This will include preprocessing, data exploration, building models, and a healthy dose of skepticism, challenging the data, the methodology and the results. Complementarily, you will conduct a research project with the topic to be discussed, mentored by an experienced researcher.

Preferred Experience

Requirements

  • Currently finishing or enrolled in a MS/PhD in machine learning, statistics or an associated field
  • Knowledge and familiarity with machine learning and/or statistical learning fundamentals
  • Python or R for data analysis and data manipulation
  • Experience with Linux/Unix-like environments
  • Fluent in English

Pluses

  • Participation in data science projects and competitions
  • Contribution to publications in conferences and journals (NeurIPS, ICML, ICLR, JASA, Journal of Causal Inference, etc.)
  • Knowledge in causality

You...

  • ... enjoy working in a small, passionate team where your contributions will have a direct impact
  • ... value rigorous analysis and clear communication
  • ... want to help reveal never-before-known insights from data
  • ... are passionate about data science

Recruitment Process

The process is structured as follows:

  • Data Challenge (more information after applying)
  • Call
  • Data Challenge debrief
  • Final interview

Additional Information

  • Contract Type: Full-Time
  • Location: Paris, France (75010)