Senior Translational Scientist

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Bioptimus

1 - 10 employees

Founded 2024

đŸ€– Artificial Intelligence

🧬 Biotechnology

⚕ Healthcare Insurance

💰 $35M Seed Round on 2024-02

Artificial Intelligence ‱ Biotechnology ‱ Healthcare Insurance

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.

📋 Description

‱ Investigate clinical, histopathological, and spatial transcriptomics data across the Bioptimus data corpus to study tumor biology ‱ Discover novel biomarkers predictive of treatment response or resistance ‱ Shape Bioptimus' R&D mission to learn the dynamics of human biology ‱ Guide model development and interpretability and design features relevant to clinical outcomes ‱ Collaborate with the Clinical Data Manager to keep data linked to intended discoveries ‱ Stay up-to-date with oncology and immunology modalities and clinical decision-making developments ‱ Present a translational research panel talk to AI researchers and computational biologists ‱ Potentially complete a technical assessment ‱ Collaborate with hospitals, biobanks, researchers, and engineers globally

🎯 Requirements

‱ Advanced clinical/science degree (PhD, PharmD, MD), e.g. in cancer biology, molecular biology, genomics, or a related field; alternatively, MD with a strong oncology background and exposure to computational concepts ‱ Strong understanding of cancer biology, tumor evolution, immune microenvironment, therapeutic mechanisms, response/resistance biology, and patient outcomes ‱ Solid understanding of clinical trials and oncology drug development ‱ Experience analyzing biological samples for biomarker discovery and personalized treatments ‱ Excellent communication skills and willingness to work collaboratively with AI researchers and computational biologists ‱ Preferably deep expertise in colorectal cancer or lung cancer, with related project experience ‱ Familiarity with clinical, medical, pharmaceutical, or biotechnology environments ‱ Track record of lead-author publications in cancer biology or oncology at high-impact journals ‱ Experience with at least one modality: H&E, bulk-RNAseq, spatial transcriptomics, spatial proteomics, single-cell RNA-seq, or high-content/pooled perturbation screens ‱ Ability to leverage Python and reproducible computational workflows to analyze complex, longitudinal clinical datasets ‱ Experience or prior knowledge of small molecules, nucleic acids, peptides, enzymes, antibodies, cell therapies, and stem cell treatments ‱ Familiarity with clinical trial governance and healthcare policies ‱ CV submitted in English

đŸ–ïž Benefits

‱ Competitive salary and equity package ‱ Flexible work arrangements, including remote options ‱ Opportunities for professional growth and leadership development ‱ Collaborative and mission-driven work environment

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