Data Scientist Intern

Orakl Oncology; Le Kremlin-Bicêtre; Sur place; EUR 30 000 - 40 000; Plein temps

Résumé du poste

A leading oncology research company in Le Kremlin-Bicetre is looking for a Data Scientist Intern to design and optimize workflows in our wet lab operations. The role requires collaboration with biologists to enhance data ingestion and analysis, focusing on high-throughput screening and data quality. Ideal candidates will have a background in statistics, experience with Python, and a strong interest in the intersection of data and biology. This position offers a unique opportunity to contribute to groundbreaking cancer treatments.

Qualifications

• BSc, MSc, MEng, or equivalent degree in relevant fields.
• Prior experience with Python and development tools.
• Strong knowledge in applied statistics for data.

Responsabilités

• Collaborate with biologists to enhance data workflows.
• Analyze data to inform experimental decisions.
• Develop tools for data accessibility for teams.

Connaissances

Python

Applied statistics

Data analysis

Curiosity and autonomy

English proficiency

Formation

BSc, MSc, MEng in statistics, machine learning, data science or related field

Outils

GitHub

AWS

GCP

Data visualization tools

Description du poste

At Orakl Oncology, our wet lab generates a rich diversity of data — from high-throughput screening results to microscopy images and various forms of unstructured data. Our ambition is to scale this data production and centralize it into a robust, industry-grade data platform. To get there, we need to address several challenges: scalability, data quality, and cross-team accessibility.

We are looking for a Data Scientist Intern to help design, build, and optimize the workflows that power our wet-lab operations. In this role, you’ll work at the intersection of biology and data science, contributing directly to projects with immediate impact on our mission to discover new cancer treatments.

Key Responsibilities

• Collaborate closely with Orakl’s biologists to build and improve data ingestion workflows, including automated error-detection pipelines and multimodal data integration.
• Analyze wet-lab–generated data to guide experimental decisions, applying statistical methods to quantify the impact of experimental conditions on data quality and reproducibility.
• Develop and maintain internal tools (dashboards or web applications) that make wet-lab data accessible and actionable for cross-functional teams.

Minimum Qualifications

• BSc, MSc, MEng, or equivalent degree in statistics, machine learning, data science, or a related field.
• Prior professional experience using Python, with familiarity with modern development tools and environments (GitHub, AWS/GCP).
• Strong foundation in applied statistics for experimental data (e.g., variability analysis, hypothesis testing, drift detection).
• Hands‑on, curious, and autonomous, with the ability to navigate fast‑paced and ambiguous environments.
• Genuine interest in the intersection of data and biology.
• Proficiency in English.

Preferred Qualifications

• Experience with data pipelines, ETL processes, or workflow orchestration frameworks (Airflow, Prefect, or similar).
• Proficiency with data visualization or dashboarding tools (e.g., matplotlib, Plotly, Streamlit, Dash).
• Prior exposure to biological, experimental, or multimodal data.
• HR Call (15 minutes call) – An initial discussion to better understand your background, experiences, and motivations.
• Technical Interview (45 minutes call) – A deep dive into your technical skills and expertise relevant to the role.
• Founder Interview: As final step of our recruitment process, you will meet the CTO of Orakl Oncology in person at our office. This meeting is an opportunity for the founders to assess cultural fit and ensure alignment with our company values.