Deep Learning for Deconvolution Intern

**About us**:
Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.

Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).

Owkin is seeking the best and brightest to join our fast-growing and dynamic team.

**About the role**:
The Owkin R&D department aims at making new biomedical discoveries building on high-quality datasets. Blending expert data science teams with background in computational biology and machine learning, the department provides solutions in biomarker discovery, drug positioning and optimized clinical trials.

The Applied Discovery group of Owkin R&D is looking for a promising research intern to focus on deep learning methodologies to connect bulk RNA-seq and single-cell RNA-seq to predict cell type fractions from mixtures. As part of the project, the intern will have the opportunity to survey, implement and compare existing approaches, as well as develop new methodologies. We expect the intern to collaborate closely with the multidisciplinary teams.

As your main missions, you will:

- Collaborate closely with, and receive mentorship from the other members of the R&D team;
- Conduct primary research and numerical validation on your topic of study, including re-usable software implementations;
- Contribute to regular research review;
- Report your detailed findings to the group.

This position is primarily based in Paris, France. Ideally you are able to join the team in Oct, or early Nov.

**About you**:
Required qualifications / experience:

- MSc year 2+ level in machine learning;
- Motivation to work at the intersection of biology and AI
- Excellence in communication and technical writing
- Experience in Linux/Unix-like environments and Python
- Experience with deep learning frameworks (Tensorflow, PyTorch, etc.)
- Fluent in English (spoken and written)
- Authorization to work legally in France

Preferred qualifications/bonus:

- Experience working with omics data (e.g RNAseq, scRNAseq)
- Experience developing and training deep generative models (e.g VAE)
- Participation in data science projects and competitions
- Fluency with Git and basic software engineering patterns
- Contribution to publications in conferences and journals

**Please submit your CV in English**

**What we offer**:

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

**Recruitment Process & Security**:

- Please complete the form and submit your CV.
- Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
- Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). **They will not occur via Signal, Telegram or Messenger**:
If you think that you have been a victim of fraud,
- Check the identity of the talent team on LinkedIn.
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