Research Intern

Bioptimus; Paris; Sur place; EUR 16 740 - 27 900; Plein temps

Résumé du poste

A biotechnology start-up in Paris is seeking a Research Intern to improve biomedical research through machine learning algorithms. The role involves collaborating with an interdisciplinary team and requires a strong background in Computer Science, excellent Python skills, and a passion for AI in healthcare. Ideal candidates should be currently enrolled in a Master’s or PhD program and have strong analytical abilities.

Qualifications

• Enrolled in a Master's degree or PhD in a related field.
• Authorized to work in France.
• Excellent communication skills in English.
• Strong analytical skills.
• Excellent coding in Python and understanding of programming best practices.
• Passionate about AI and healthcare.
• Mastery of deep learning frameworks.

Responsabilités

• Implement strategies for alignment of foundation models across biological modalities.
• Conduct methodological research for model pre-training and alignment.
• Evaluate multimodal biological models and analyze performance.

Connaissances

Machine Learning

Python

Communication Skills

Analytical Skills

Deep Learning Frameworks (PyTorch, Jax)

Formation

Master's degree/PhD in Computer Science-related field

Description du poste

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. With more than $75M in funding, Bioptimus is a fast‑growing start‑up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world‑class team of scientists and engineers is redefining the frontiers of AI and life sciences.

About The Role

As a Research Intern, you will have the opportunity to improve biomedical research using state‑of‑the‑art machine learning algorithms. In particular, you will work with an interdisciplinary team with both machine‑learning and biology expertise to develop and evaluate foundation models.

Responsibilities

• Contribute to the implementation of strategies to align foundation models across different biological modalities, including but not limited to genomics, proteomics, single‑cell omics and histopathology.
• Conduct methodological research for the pre‑training and alignment of biological foundation models.
• Conduct the evaluation of multimodal biological foundation models and analyse their performance on downstream tasks.

The position is based in Paris. Ideally, you can join the team starting from Q3 for 6 months.

About You

Requirements

• You are enrolled in a master degree/PhD in Computer Science‑related field (machine learning, applied mathematics, computer science, software engineering).
• Authorised to legally work in France.
• Excellent written and oral communication skills. In particular, fluent in English (spoken and written).
• Strong analytical skills.
• Excellent command of coding in Python, and excellent grasp of programming best practices.
• Passionate about the intersections of healthcare/biology and AI.
• Strong expertise with deep learning frameworks (PyTorch, Jax, etc.): You should already master one of these frameworks and have implemented (large) neural networks in previous projects.
• Highly organised and meticulous about details; capable of tackling complex problems logically and effectively.

Preferred qualifications/bonus skills

• Demonstrated practical expertise in representation learning/large language models/generative AI, including prior experience of implementing, training and/or deploying large neural networks.
• Participated in the preparation of scientific publications at top ML conferences (NeurIPS, ICLR, ICML, …) or high‑impact ML journals (JMLR, TMLR, …).
• Prior experience working with biological data.

We believe that the unique contributions of all Bioptimists create our success. To ensure that our culture continues to incorporate everyone’s perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, or disability status. Decisions related to hiring are made fairly, and we provide equal employment opportunities to all qualified candidates. We take responsibility for always striving to create an inclusive environment that makes every employee and candidate feel welcome.