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Computational Biology Lead

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Bioptimus

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Location:
France , Paris

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Salary:

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Job Description:

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine. We are seeking an experienced computational biology leader to guide the evaluation and real-world applications of our foundation models. You will bring your expertise in biology and data science to provide crucial scientific direction, ensuring we tackle the most important problems in drug development and translational research. This is a senior individual contributor role within our R&D team that will expand into management as the company grows.

Job Responsibility:

  • Identify and develop AI and foundation model approaches to answer key questions in biopharma and translational research
  • Collaborate with our research team to identify, acquire, or generate new datasets and data modalities to incorporate into our models
  • Contribute to publications, patents, and case studies showcasing novel applications in pharma R&D
  • Represent Bioptimus at conferences, workshops, and client meetings, demonstrating domain expertise and the potential of AI-driven drug development
  • Mentor junior team members and provide domain expertise to our R&D team
  • Translate biopharma research questions into actionable machine learning objectives and tasks
  • Work closely with product, business, and research teams to define feature priorities
  • Serve as a trusted scientific partner during external technical discussions
  • Design proof-of-concept studies, address domain-specific queries, and deliver high-quality presentations that highlight the value of Bioptimus' solutions
  • Provide ongoing training and support to partners on how to interpret and apply our foundation models in R&D pipelines
  • Help unlock actionable insights in transcriptomics, proteomics, histology, and beyond

Requirements:

  • PhD or equivalent experience in Computational Biology, Bioinformatics, or related field
  • 4+ years professional experience in Biopharma R&D
  • Deep understanding of biopharma R&D use-cases, challenges, tools and processes
  • Ability to break down high-level biopharma use-cases into actionable recommendations for the research & product team
  • Extensive experience working with end-to-end genomics and multi-omics datasets (transcriptomics, single-cell, proteomics, imaging, etc..), from dataset generation & QC, to the analysis and interpretations of results
  • Demonstrated expertise critically applying machine learning to computational biology, including scientific publications at high-impact journals and/or top conferences in the field
  • Deep experience in Python/R
  • Comfortable working in cloud computing environments and with version control systems
  • Experience working in cross-functional environments and influencing the decision making of senior/executive stakeholders
  • Capable of engaging both technical and non-technical stakeholders
  • Adept at crafting compelling presentations and scientific narratives for high-level stakeholders and internal teams

Nice to have:

  • Translational Oncology/Immunology Research: Demonstrated experience leading computational biology efforts in translational research from IND filing to clinical trials
  • Single Cell & Spatial Expertise: Extensive experience in computational biology research, in particular in single cell and spatial domains, applying AI/ML models in translational or clinical research
  • Project Leadership Experience: Demonstrated ability to manage complex projects, and deliver results in a fast-paced environment
  • Internal/External Leadership: A track record of impactful contributions to computational biology, drug discovery & development, or foundation models. Demonstrated success mentoring junior scientists
  • Entrepreneurial Mindset: Experience in a startup or innovative environment, showing adaptability, proactiveness, and eagerness to take on varied responsibilities
  • Stakeholder Management: Proven success in matrixed or consulting activities, shaping product offerings, and ensuring stakeholder satisfaction through ongoing relationship management
What we offer:
  • Globally competitive salary and equity package
  • Flexible work arrangements, including remote options
  • Opportunities for professional growth and leadership development

Additional Information:

Job Posted:
December 06, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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