Multimodal Research Scientist

March 28

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Bioptimus

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Bioptimus is on a mission to build the first universal AI foundation model for biology, aimed at fueling breakthrough discoveries and accelerating innovations in biomedicine and beyond. The company seeks to transform the biological sciences through advanced artificial intelligence technologies.

artificial intelligence • biology • foundation models

2 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $35M Seed Round on 2024-02

📋 Description

• As a Multimodal Research Scientist at Bioptimus, you will have the opportunity to improve medical research using state-of-the-art machine learning algorithms. • You will work within an interdisciplinary team with both machine learning and biomedical expertise to build biological foundation models that will unlock AI applications and biomedical innovations. • Join a team setting the foundations and paving the way for the development and application of foundation models in biomedical innovation. • Develop and lead the implementation of strategies to align foundation models across different biological modalities, including but not limited to genomics, proteomics, single-cell omics and computational histopathology. • Conduct methodological research for the pre-training and alignment of biological foundation models, targeted at taking advantage of the particular structures and connections between different biological scales. • Conduct the evaluation of multimodal biological foundation models, up to and including the design of novel evaluation tasks and relevant downstream analyses. • Write scientific publications and patents. • Depending on your level of experience, you will have the opportunity to supervise a team and lead ambitious projects.

🎯 Requirements

• a PhD in machine learning, or equivalent experience • a strong command of coding in python and related programming best practices. Experience with deep learning frameworks (e.g., Tensorflow, PyTorch, Jax) • a passion about the intersections of healthcare/biology and AI • demonstrated expertise in representation learning/large language models/generative AI, including scientific publications at top ML conferences (NeurIPS, ICLR, ICML, …) or high-impact ML journals (JMLR, TMLR, ...) • similarly, demonstrated expertise in the alignment of foundation models across different modalities (text, image, audio, video, etc.). Excellent written and oral communication skills

🏖️ Benefits

• Competitive compensation • The opportunity to improve medical research with a transformative company from the ground up. • A collaborative, mission-driven culture with a passionate team of innovators. • Flexible work environment with a focus on outcomes, not hours. • The chance to make a tangible impact at the intersection of AI and biology, driving real-world change.