Junior Data Scientist Intern

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Pessac, Gironde, Nouvelle-Aquitaine
Internship
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
SOPHiA GENETICS is a healthcare technology democratizing data-driven medicine.
The Role

Description

IMPORTANT: As a global business, English is our primary language and English-only speakers will be involved in your recruitment process. All resumes should be in English for a successful review!
Complete an internship project at SOPHiA GENETICS whose mission is to build the future of AI-assisted medicine, joining the Multimodal Predictive Algorithm Team as a Junior Data Scientist Intern.

Your mission: 

You will contribute to the development and validation of deep-learning algorithms designed to predict treatment responses in various cancer types, including liver, breast, and lung cancer. This project is part of a larger initiative focused on multimodal predictive models that aim to improve treatment outcomes in oncology. 

You will be involved in: 

  • Constitution and managing of the training and testing cohorts from real-world medical datasets. 
  • Training deep-learning algorithms on medical imaging datasets to improve prediction accuracy. 
  • Testing and validating the performance and effectiveness of deep-learning models. 
  • Optimisation and fine-tune deep-learning models for better performance and clinical applicability. 
Requirements

The experience you bring: 

  • Master's degree in Engineering, Computer Science and Applied Mathematics, or a related field. 
  • Basic knowledge of deep-learning techniques and image processing. 
  • Proficiency in Python, with a strong interest in machine learning and AI. 
  • Strong communication skills in English, both written and verbal. 
  • Ability to manage priorities effectively, and collaborate within a team, while also working independently when required. 
Benefits

What you will learn: 

  • Gain hands-on experience in handling and analysing large, real-world oncology datasets. 
  • In-depth knowledge of machine learning and deep-learning techniques applied to medical imaging. 
  • Skills in developing and validating predictive models to support treatment response prediction in oncology. 
  • Collaboration within a multidisciplinary team of scientists, engineers, and medical experts. 

Location: Pessac, France 

Start: Jan 2025 

Contract type: 6-month internship 

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

Application process 

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. 

SOPHiA GENETICS: 

We believe there is a smarter, more data-driven way to make decisions in healthcare and our AI SaaS Platform enables that. You will have direct input into our mission to radically improve the outcomes for Cancer & Rare Disease patients globally. Enable our customers to push industry boundaries, as we pioneer into newly discovered fields and combine complex, multi-modal data for the first time! 

For more information, visit our website:

What the Team is Saying

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The Company
HQ: Boston, MA
450 Employees
Hybrid Workplace
Year Founded: 2011

What We Do

SOPHiA GENETICS (Nasdaq: SOPH) is a healthcare technology company dedicated to establishing the practice of data-driven medicine as the standard of care and for life sciences research. It is the creator of the SOPHiA DDM™ Platform, a cloud-based SaaS platform capable of analyzing data and generating insights from complex multimodal data sets and different diagnostic modalities. The SOPHiA DDM™ Platform and related solutions, products and services are currently used by more than 780 hospital, laboratory, and biopharma institutions globally.

Why Work With Us

This is not just a tech company, it’s not only about algorithms and data, it’s more than that. It’s bold, visionary, and altruistic. Democratizing health outcomes is bigger than a spreadsheet, a sale, or a line of code. It’s all of those things coming together with driven, curious people to deliver this audacious vision.

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