Multimodal Research Scientist

About Bioptimus

Incorporated in October 2023, Bioptimus is a fast-growing Series A startup headquartered in Paris, France.

We are building a team of creative minds. Together, we aspire to redefine the landscape of biology with AI, unlocking its potential for everyone.

Our mission is to build the first universal AI foundation model for biology to fuel breakthrough discoveries and unlock AI superpowers for the biomedical ecosystem.

 

About the role:

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.

In particular, you will:

You will:

• 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.

Who we are looking for:

The successful candidate will have a ‘team-first’ kind of attitude; be independent, curious and detail-attentive; and thrive in a dynamic, fast-paced environment. They will be passionate about the intersections of healthcare/biology and AI.

In addition, the candidate should have:

• 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

Ways to stand out:

The following are not necessarily required, but would be a plus:

• Prior experience working with biological data.
• Experience with the curation and analysis of multimodal data.
• Hands-on experience implementing custom models with a deep learning framework (PyTorch, Jax, …)

 What We Offer

• 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.

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, veteran, 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.