About Us
Bioptimus is building the universal AI foundation model in biology to drive advancements in scientific research and biotechnological innovation. Leveraging a team of world-class experts, employing state-of-the-art AI technologies, and accessing unique proprietary data at scale, we aim to fuel breakthrough discoveries and accelerate innovations in biomedicine and beyond. For more information, please visit https://www.bioptimus.com.
About the Role
Position: Research Intern
Location: Paris
Duration: 6 months (starting from Q2)
As a Research Intern, you will have the opportunity to improve biomedical research using state-of-the-art machine learning algorithms. Working with an interdisciplinary team combining expertise in machine learning and biology, you will develop and evaluate foundation models.
Responsibilities:
- Contribute to strategies for aligning foundation models across various biological modalities, including genomics, proteomics, single-cell omics, and histopathology.
- Conduct methodological research on the pre-training and alignment of biological foundation models.
- Evaluate multimodal biological foundation models and analyze their performance on downstream tasks.
About You
Requirements:
- Enrolled in a Master’s or PhD program in a Computer Science-related field (machine learning, applied mathematics, computer science, software engineering).
- Legally authorized to work in France.
- Fluent in English (spoken and written) with excellent communication skills.
- Strong analytical skills and attention to detail.
- Expertise in Python programming and adherence to coding best practices.
- Passionate about the intersection of healthcare/biology and AI.
- Strong expertise with deep learning frameworks (e.g., PyTorch, Jax) and experience implementing large neural networks.
Preferred Qualifications/Bonus Skills:
- Practical expertise in representation learning, large language models, or generative AI, with prior experience in implementing, training, and/or deploying large neural networks.
- Experience contributing to scientific publications at top ML conferences (NeurIPS, ICLR, ICML) or high-impact journals (JMLR, TMLR).
- Prior experience working with biological data.
We look forward to having passionate and talented individuals join our mission at Bioptimus!
