Computational Biology Lead Jobs

Bioptimus

Location:
France, Paris

Category:
Research and Development

Contract Type:
Not provided

Salary:

Not provided

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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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Computational Biology Lead