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About the Role

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. This role supports Bioptimus’ clinical and scientific strategy for digital twin and data generation programs, working closely with science, data, and partnerships teams.

Responsibilities

• Support the identification of the most important clinical questions and modalities to prioritize across training and validation cohorts.
• Provide clinical input on tissue, drug class, disease, and modality prioritization.
• Support the selection of clinical metadata, endpoints, and patient-level annotations required to maximize downstream model utility.
• Identify and prioritize clinically relevant tasks including response prediction, toxicity prediction, biomarker discovery, indication expansion, and trial enrichment.
• Provide clinical and biological review of model outputs and scientific results.
• Work closely with the science team to support results review and contribute to external-facing scientific narratives.
• Translate model behavior into clinically credible language for pharmaceutical, key opinion leader, and regulatory audiences.
• Support connections with academic investigators running relevant clinical studies, including early-phase studies, novel-agent programs, immuno-oncology programs, and multimodal cohorts.
• Advise on academic partnership structures that align research collaborations with Bioptimus’ data needs, including retrospective and prospective studies.
• Support discussions with pharmaceutical R&D teams where relevant.
• Advise on the positioning of model claims for translational medicine and clinical development audiences.

Requirements

• MD/PhD with active or recent Principal Investigator experience designing and analyzing clinical studies, particularly studies involving translational endpoints, biomarker sub-studies, and multimodal cohorts.
• Deep expertise in onco-immunology, including IO mechanisms, response and resistance biology, tumor microenvironment biology, IO combinations, and understanding of pharmaceutical pipelines and unmet clinical needs.
• Working understanding of and genuine interest in machine learning and foundation model approaches applied to pathology, transcriptomics, and multimodal data integration.
• Ability to work closely with scientific, clinical, and external stakeholder groups.
• Strong communication skills with the ability to contribute to scientific discussions and external-facing narratives.
• Comfortable operating in a startup environment with ambiguity and evolving priorities.
• Pharma R&D experience through an industry role or substantive pharmaceutical collaboration history.
• Existing academic or hospital network in onco-immunology.
• Experience designing and analyzing studies involving translational endpoints, biomarker sub-studies, or multimodal cohorts.
• Familiarity with ML or foundation model approaches in pathology, transcriptomics, or multimodal biology.

Skills

• Clinical Strategy
• Scientific Interpretation
• Data & Academic Partnerships
• Pharma Engagement
• Clinical Research
• Onco-Immunology
• Machine Learning
• Multimodal Biology
• Collaboration
• Communication

Location

• Remote
• Paris

Work Type

• Remote
• Part-time
• Full-time

Experience Level

• Principal Investigator experience

Education Level

• MD/PhD

About the Company

• 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.

Equal Opportunity

• 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.