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.

The Candidate Journey

To be considered, please submit your CV in English. We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

1. Screening: Once you have applied, the hiring team will review your application to determine if your work experience and skills align with the necessary proficiencies of this position.
2. Hiring Manager (30 min): A discussion with the Hiring Manager focused on your clinical and translational research background, scientific expertise, and motivation for collaborating with Bioptimus.
3. Strategic Case Study Discussion (60 min): A collaborative discussion with members of the scientific and technical teams focused on clinical strategy, translational medicine, multimodal biology, and the application of foundation models in oncology and immunology.
4. Offer: Following the completion of the interviews, our hiring team will make a final decision and will be in touch to share the outcome of your interviews. If the team would like to move forward, the recruiter will discuss the details of our proposed offer with you.
5. Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you to Bioptimus.

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.

Originally posted on Himalayas