Clinical Expert, Onco-Immunology

Bioptimus; Paris; Hybride; EUR 60 000 - 90 000; Temps partiel

Résumé du poste

Bioptimus, headquartered in Paris, is seeking a Clinical Expert to guide clinical and translational strategy for digital twin and data-generation programs. You will collaborate across science, data, and partnerships to prioritize clinical questions, interpret model outputs, and advise on partnerships aligned with Bioptimus’ goals.

This is a part-time engagement with potential for full-time. You will engage with pharma, academia, and external partners to shape clinical metadata, endpoints, and

Qualifications

• 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.

Responsabilités

• Clinical Strategy: Identify important clinical questions and modalities to prioritize across training and validation cohorts. Provide clinical input on tissue, drug class, disease, and modality prioritization. Support selection of clinical metadata, endpoints, and patient-level annotations needed to maximize downstream model utility.
• Scientific Interpretation: Review model outputs and translate results into clinically credible language for pharma, key opinion leaders, and regulatory audiences.
• Data & Academic Partnerships: Support connections with academic investigators running relevant clinical studies, including early-phase studies, novel-agent programs, immuno-oncology programs, and multimodal cohorts.
• Pharma Engagement: Support discussions with pharmaceutical R&D teams where relevant and advise on positioning of model claims for translational medicine.

Connaissances

Clinical Research Experience

Onco-Immunology Expertise

Machine Learning & Multimodal Biology

Collaboration & Communication

Formation

MD/PhD

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.

This is a remote role. We’re headquartered in Paris, but the position can be performed remotely outside of Paris.

The Opportunity

We are looking for a Clinical Expert to support Bioptimus’ clinical and scientific strategy for digital twin and data generation programs. In this role, you will work closely with the science, data, and partnerships teams to support clinical prioritization, scientific interpretation, academic collaborations, and pharma engagement across our research programs.

You will contribute clinical and translational expertise to help identify the most important clinical questions and modalities to focus on, support the interpretation of model outputs, and advise on partnerships and research programs aligned with Bioptimus’ data and scientific goals.

This is a part-time engagement with the possibility of becoming full-time.

What You'll Be Doing

As a Clinical Expert, you will own the following tasks:

• Clinical Strategy: 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.
• Scientific Interpretation: 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.
• Data & Academic Partnerships: 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.
• Pharma Engagement: Support discussions with pharmaceutical R&D teams where relevant. Advise on the positioning of model claims for translational medicine and clinical development audiences.

What You'll Bring

The successful candidate will bring deep clinical and translational expertise, strong scientific judgment, and enthusiasm for working in a collaborative and fast-paced environment. We value individuals who combine clinical research experience with genuine interest in emerging machine learning approaches in biology.

• Clinical Research Experience: 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.
• Onco-Immunology Expertise: 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.
• Machine Learning & Multimodal Biology Interest: Working understanding of and genuine interest in machine learning and foundation model approaches applied to pathology, transcriptomics, and multimodal data integration.
• Collaboration & Communication: 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.

How to Stand Out:

• 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.

Why This is a Unique Opportunity

• Be part of a trailblazing team working at the intersection of AI, biotech, and biomedical research.
• Take on a high-impact leadership role, shaping the future of biomedical AI through strategic data partnerships.
• Work in a collaborative, innovation-driven environment with top researchers and industry experts.

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.

Demographic Questions

At Bioptimus, we're committed to building a team that reflects the world we want to impact. We collect demographic data from candidates globally to help us understand and improve diversity across our recruitment process.

We know identity is personal, and these categories may not perfectly capture everyone's background. Please choose the option that feels closest to how you identify, or select "Prefer not to say" - this survey is entirely voluntary and your application status remains unaffected either way.

Your privacy & data rights:
This data is processed under our Legitimate Interest to maintain fair hiring practices (GDPR Art. 6(1)(f)), and, for sensitive descriptors, your Explicit Consent (GDPR Art. 9(2)(a)).

Thank you for helping us build a workplace where everyone belongs.

Bioptimus (Data Controller) collects and processes your personal data to evaluate your application for this position.

• Why we process your data: To manage our recruitment pipeline. This is necessary for pre-contractual steps regarding your potential employment.
• Our talent pool (Future Roles): If you are not hired for this specific role, we will keep your CV to contact you about future matching opportunities. We do this under our legitimate business interest to maintain a talent pipeline. You can refuse this retention at any time.
• Who sees your data: Only our internal HR team and the specific hiring managers for this role. Your data is stored securely within Greenhouse.
• How long we keep it: In line with CNIL rules, we store your data for a maximum of 2 years (24 months) after our last contact with you. If there is no interaction during this time, our software will automatically delete your profile.
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Please consult the full details on our Privacy Policy . You also have the right to submit a complaint with the CNIL at cnil.fr.