AI & Computational Biology Intern
Orakl Oncology
Date: il y a 11 heures
Ville: Le Kremlin-Bicêtre, Île-de-France
Type de contrat: Stage
Job Description
About the Internship
We are looking for a motivated intern in AI & Computational Biology to support the development and application of machine learning methods on large-scale biological datasets. This role is ideal for students or recent graduates in computational biology, bioinformatics, AI/ML, or data science who are passionate about applying their skills to real-world biomedical problems.
As part of the Computational Biology team, you’ll work alongside experienced scientists and engineers, gaining hands-on experience with high-dimensional omics data and the opportunity to contribute to projects that impact drug discovery in oncology.
What You’ll Do
Must Have skills
About the Internship
We are looking for a motivated intern in AI & Computational Biology to support the development and application of machine learning methods on large-scale biological datasets. This role is ideal for students or recent graduates in computational biology, bioinformatics, AI/ML, or data science who are passionate about applying their skills to real-world biomedical problems.
As part of the Computational Biology team, you’ll work alongside experienced scientists and engineers, gaining hands-on experience with high-dimensional omics data and the opportunity to contribute to projects that impact drug discovery in oncology.
What You’ll Do
- Support development of ML models for biological data analysis, with guidance from senior team members.
- Process and integrate multi-modal datasets such as transcriptomics, genomics, and phenotypic screens from PDOs.
- Contribute to exploratory data analysis, visualization, and preprocessing pipelines to uncover patterns and validate hypotheses.
- Assist in prototype implementations of generative and predictive models under supervision.
- Participate in weekly team meetings and project updates, contributing ideas and presenting your findings.
Must Have skills
- A student or recent graduate in computational biology, bioinformatics, machine learning, data science, or related fields.
- Curious about cancer biology and excited by the idea of translating data into real therapeutic impact.
- A strong team player who is proactive, detail-oriented, and thrives in a collaborative and fast-paced research environment.
- Very comfortable with coding in Python.
- Familiar with machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow) and have a strong understanding of ML fundamentals.
- Exposure to RNA-seq or other omics data and tools like scanpy, anndata, or Bioconductor packages.
- Familiarity with deep learning or generative models.
- Interest in oncology, organoids, or translational research.
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