Senior Translational Scientist

This is a fully remote position, open to applicants in France.

📋 Description

• Analyze clinical, histopathological, and spatial transcriptomics data within the Bioptimus data corpus to explore tumor biology.

• Identify new biomarkers that can predict treatment responses or resistance.

• Contribute to Bioptimus' R&D mission aimed at understanding the complexities of human biology.

• Oversee model development and interpretability while designing features that are pertinent to clinical outcomes.

• Work alongside the Clinical Data Manager to ensure data is aligned with intended discoveries.

• Keep abreast of advancements in oncology, immunology modalities, and developments in clinical decision-making.

• Deliver a translational research presentation to AI researchers and computational biologists.

• May be required to complete a technical assessment.

• Collaborate with hospitals, biobanks, researchers, and engineers on a global scale.

⛳️ Requirements

• Possession of an advanced degree in clinical science (PhD, PharmD, MD), such as cancer biology, molecular biology, genomics, or a related discipline; or an MD with a robust oncology background and familiarity with computational concepts.

• Strong knowledge of cancer biology, tumor evolution, immune microenvironments, therapeutic mechanisms, response and resistance biology, and patient outcomes.

• Comprehensive understanding of clinical trials and the oncology drug development process.

• Proven experience in analyzing biological samples for biomarker discovery and tailored treatments.

• Exceptional communication skills and a readiness to collaborate with AI researchers and computational biologists.

• Ideally, possess in-depth expertise in colorectal cancer or lung cancer, supported by relevant project experience.

• Familiarity with clinical, medical, pharmaceutical, or biotechnology sectors.

• Demonstrated history of lead-author publications in cancer biology or oncology in high-impact journals.

• Experience with at least one analysis modality: H&E, bulk-RNAseq, spatial transcriptomics, spatial proteomics, single-cell RNA-seq, or high-content/pooled perturbation screens.

• Ability to utilize Python and reproducible computational workflows to analyze intricate, longitudinal clinical datasets.

• Knowledge or experience with small molecules, nucleic acids, peptides, enzymes, antibodies, cell therapies, and stem cell treatments.

• Understanding of clinical trial governance and healthcare regulations.

• CV must be submitted in English.

🏝️ Benefits

• Competitive salary along with an equity package.

• Flexible working arrangements, including options for remote work.

• Opportunities for career advancement and leadership development.

• A collaborative and mission-driven work atmosphere.