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Junior Data Scientist Intern

Phia LLC

Pessac

Sur place

EUR 40 000 - 60 000

Plein temps

Il y a 6 jours
Soyez parmi les premiers à postuler

Résumé du poste

A leading healthcare technology company is seeking a Data Scientist Intern for a 6-month full-time internship in Pessac, France. You will work on machine learning models to assist in oncology treatment decisions using real-world data. Ideal candidates are pursuing a Master's in a relevant field and have strong skills in Biostatistics and Python. The position starts in February 2026 and includes a comprehensive benefits package.

Prestations

Health benefits with 80% employer contributions
Life insurance and pensions contribution
Meal vouchers
Home office allowances

Qualifications

  • Currently pursuing a Master’s degree in a relevant field.
  • Proficiency in Biostatistics, machine learning, and Python.
  • Strong communication skills in English.

Responsabilités

  • Contribute to machine learning models for estimating treatment effects in oncology.
  • Conduct literature reviews on HTE modelling methods.
  • Present findings and results to the team.

Connaissances

Biostatistics
Machine learning
Python
Communication skills in English

Formation

Master’s degree in Biostatistics, Applied Statistics, Applied Mathematics, or related field
Description du poste

Project: Estimating Individual Treatment Effects using Observational Data in Oncology

Complete an internship project at SOPHiAGENETICS whose mission is to build the future of AI-assisted medicine. Joining the R&D Multimodal Biostatistics team as a Data Scientist Intern.

Your mission:

Reporting to the Multimodal Biostatistics Manager, you will contribute to the development of machine learning models designed to estimate heterogeneous treatment effects (HTEs) using real-world data (RWD) in cancer. This work aims to assist clinicians in their decision‑making by recommending the best treatment for each patient based on their individual characteristics, paving the way for truly personalized therapeutic strategies in oncology.

You will be involved in:

  • Conducting a literature review on existing methods and libraries for HTE modelling.
  • Preparing multimodal real-world datasets for predictive modelling purposes.
  • Training and validating machine learning models for HTE modelling on RWD in oncology.
  • Integrating the code for these selected models into the SOPHiA Multimodal Factory.
  • Presenting your findings and results to the team.

What you will learn:

  • Specialize in machine learning techniques applied to oncology research.
  • Gain hands‑on experience analysing and managing real‑world multimodal data sets.
  • Develop expertise in presenting and communicating predictive analysis results.
  • Collaborate with cross‑functional teams in a dynamic and innovative environment.

The experience you bring:

  • Currently pursuing a Master’s degree in Biostatistics, Applied Statistics, Applied Mathematics, or a related field.
  • Proficiency in Biostatistics, machine learning, and Python.
  • Strong communication skills in English, both written and verbal.
  • A team player who collaborates well with others but can also work autonomously.

You will be joining an organisation with the patient at the heart of every decision and action, driven by purpose as we pursue exponential growth.

Business recognition and accolades include:

  • World's most innovative companies (Top 10)
  • World's smartest companies (Top 50)
  • 100 Best Places to Work in Boston
  • Top 10 European Tech Startup
  • Top 10 European biotechs startup to watch
  • Top 25 East-Coast Biotech to watch

Benefits

  • Our benefits package is comprehensive, but varies internationally in line with local standards and laws. You can discuss a full breakdown with us, but as a brief overview:
  • Forfait-Jour working types
  • Health benefits for you and your family covered by 80% employer contributions
  • Life Insurance and pensions contribution
  • SWILE meal vouchers and home office allowances

Our DNA

Like the strands of DNA itself, SOPHiA GENETICS and the team are deeply interconnected and reliant on each other to deliver. There are common threads across the team. Things that bind us together. Those things are Relentless Curious; Resilient & Nimble and Fearlessly Adventurous

Our Virtues

At SOPHiA GENETICS we established our 7 Virtues to clarify how our principles show up each day through action. We Decide; We Do; We Collaborate; We Innovate; We Empower; We Adapt and We Learn.

At the centre of our Virtues is our Mantra, We Care, which provides a constant reminder of the compassionate, benevolent, and hopeful nature of our mission and how it should be threaded through each of our Virtues and everything we do. Learn more about our DNA and Virtues on our Careers portal

The Process

We use the power of AI to help our partners make decisions. If you’re utilising AI in your search and application process, why not use some of these prompts, or read our AI guide.

‘What impact can I expect to have on the world by working at SOPHiA GENETICS?’

‘I have an interview with SOPHiA GENETICS. What should I know before I meet with them?’

‘I am a job title - What can SOPHiA GENETICS offer my career?’

Apply now with your CV and any supporting information.

Suitably qualified candidates will be invited through an interview and screening process where you will speak with members of our Talent Acquisition Team, the hiring leader alongside key colleagues and stakeholders from across the business. If you need additional support for accessibility, please contact our TA team for assistance.

We appreciate the value external partners can bring, but we operate a direct-hiring model and we are not looking to utilise agency support at this time. All hiring is controlled by Talent Acquisition, potential partners should liaise through TA and not our hiring teams please.

Starting Date: February 2026

Location: Pessac, FR

Contract: 6 months Internship contract, full time

All SOPHiAGENETICS internships & apprenticeships are paid as per each country\'s best practices and degree level.

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