Intern - ML Research Scientist - Predictive Models of Survival
Owkin
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:
This position is based in Paris, France. Ideally you are able to join the team 3rd March 2025. Please submit your CV in English.
An important challenge in AI for cancer research is to leverage spatially resolved transcriptomics data, which allows to sequence RNA transcripts while preserving the architecture of the tissue coming from patient samples. Within the MOSAIC consortium, Owkin is building the world’s largest spatial multiomics data set in oncology, with the aim to enable the discovery of new disease biology, patient subtypes, targets and ultimately new drugs. This initiative raises several methodological challenges, including the development of predictive models for spatially resolved multi-omics and multimodal data.
In particular, you will:
The intern will develop and evaluate new predictive models of survival based on (i) spatial transcriptomics and (ii) multi-omics and multimodal data from the MOSAIC program, in collaboration with other ML scientists and computational biologists. The intern will be able to rely on existing proprietary ML models, and will work on adapting them to the specificities of spatially resolved transcriptomics, with an emphasis on their interpretability. The developed models will be applied to several cancer indications within the MOSAIC program.
About you
Required qualifications / experience:
- You are finishing a Master level or equivalent program in Machine Learning, Statistics or Biostatistics
- You have very good overall coding skills in Python (or R, Julia, Matlab)
- You have experience in applying ML code libraries to real data
- You master the English language to work in an international environment
- You have excellent oral and written communication skills
- Familiarity with version control (Git) and reproducible research practices
Preferred qualifications/bonus:
- Experience (previous internship, project, kaggle, etc.) in ML for healthcare applications
- Experience (previous internship, project, kaggle, etc.) in ML for computer vision applications
- Experience (previous internship, project, kaggle, etc.) in ML for spatial data applications
- Excellent coding skills in Python
Please submit your CV in English
What we offer
- Flexible work organization
- 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.
- Owkin is a great place to work. Unfortunately, being a coveted workplace means we are vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
- Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
- Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or though our applicant tracking system (Greenhouse).
- The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.
- The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
- 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
- Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.
If you think that you have been a victim of fraud,
- Check the identity of the talent team on LinkedIn.
- Check the existence of the position on our website https://owkin.com/hiring
- Notify Owkin's recruitment unit at this address hiring@owkin.com
- contact the following authorities: