Scientific Engagement Manager

Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries and accelerate innovation in biomedicine.

With more than $75M in funding, Bioptimus is a fast-growing start-up headquartered in Paris, incorporated in October 2023. Backed by leading international venture capitalists, our world-class team of scientists and engineers is redefining the frontiers of AI and life sciences.

Locations:

• Europe
  :
  Paris / UK / Germany / Remote (EU)
• US
  :
  Boston, Chicago, San Francisco, San Diego / Remote (US)

We are looking for a scientifically credentialed strategist to lead the post-sales journey for our pharmaceutical partners. In this role, you will be the bridge between our cutting‑edge foundational models and the R&D pipelines of the world’s leading biopharma companies.

You will use your deep expertise in biology and data science to build credibility with stakeholders, identify new opportunities for model application within their pipelines, and translate customer feedback into our product roadmap.

As our Scientific Engagement Manager, you will operate across three key strategic domains:

1. Strategic Account & Program Management

• Post‑Signature Leadership: Orchestrate the partner journey immediately following contract execution. You will act as the Project Manager for the deployment, ensuring seamless onboarding and integration of our foundational models.
• Scientific Advisory: Consult with client R&D teams (ranging from bench scientists to Heads of R&D) to diagnose their specific therapeutic challenges. Design and guide proof‑of‑concept studies that demonstrate the clear utility of our models in drug discovery and translational research.
• Adoption & Expansion: Proactively identify opportunities to expand the scope of the partnership. Leverage your understanding of the client’s pipeline to suggest new use cases, therapeutic areas, or departments where our technology can drive value.
• Voice of the Customer: Synthesize technical feedback and performance metrics from the field. Translate complex biopharma user requirements into actionable technical specifications for our internal Research and Product teams.
• Gap Analysis: Collaborate with our machine learning engineers to identify data modalities or functional gaps in our current offering, directly influencing future product iterations.

3. Industry Presence & Thought Leadership

• Scientific Ambassadorship: Represent Bioptimus at top‑tier scientific conferences, consortiums, and technical workshops.
• Network Development: Leverage and expand a professional network within the global biopharma R&D community to maintain Bioptimus reputation as a market leader in AI‑driven biology.

The successful candidate will have a ‘team‑first’ attitude; be independent, curious, and detail‑oriented; thrive in a dynamic, fast‑paced environment; and be fun to work with. We value individuals who bring deep domain expertise in pharmaceutical R&D alongside strong hands‑on business development skills.

Scientific & Technical Credibility

• Educational Background: PhD in Computational Biology, Bioinformatics, Genomics, or a related field is required.
• Domain Expertise: Deep understanding of the biopharma R&D value chain (target discovery to clinical trials). You understand the specific pain points of drug developers.
• Technical Fluency: Extensive experience with multi‑omics datasets (single‑cell, transcriptomics, proteomics). You can comfortably discuss ML concepts (LLMs, benchmarking) with data scientists.

Relationship & Strategic Skills

• Stakeholder Management: Proven experience navigating complex, matrixed organizations (Big Pharma experience is a plus). You can present to a VP of R&D in the morning and troubleshoot with a bioinformatician in the afternoon.
• Consultative Mindset: You are not just a support agent; you are a trusted advisor. You have experience in roles such as Field Application Scientist (FAS), Solution Architecture, or Scientific Consulting.
• Feedback Synthesis: Ability to distill complex client complaints or requests into clear, prioritized product requirements.

How to stand out:

• Experience in a startup or…