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bit.bio

The Cell Coding Company

Director Business Development, Data & Platform Partnerships

DirectorDirectorOtherRemoteLeadTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States + 40 moreAll locations: United States | United Kingdom | Germany | France | Estonia | Portugal | Hungary | Poland | Ukraine | Romania | Bulgaria | Czechia | Slovakia | Belarus | Moldova | Sweden | Greece | Belgium | Italy | Ireland | Switzerland | Netherlands | Finland | Malta | Denmark | Lithuania | Croatia | Spain | Austria | Bosnia And Herzegovina | Iceland | Luxembourg | North Macedonia | Montenegro | Norway | Serbia | Slovenia | Albania | Cyprus | Latvia | Monaco

Posted

83 days ago

Salary

0

Seniority

Lead

No structured requirement data.

Job Description

Director Business Development, Data & Platform Partnerships

bit.bio

Role Description bit.bio is seeking a strategic and commercially driven Director of Business Development, Data & Platform Partnerships to lead go-to-market (GTM) strategy and revenue generation for our Data as a Product (DaaP) and platform assets. This role focuses on building high-value strategic partnerships that integrate our causal, deterministic human datasets and platform into the wider predictive biology and AI-enabled drug discovery ecosystem. - Strategic Data, Platform Partnerships & Business Development: - Define and execute the go-to-market (GTM) strategy for our AI-ready data. - Drive high-margin revenue generation through our defined commercial tiers: Data access, custom services, code Partnerships, and infrastructure integration. - Position bit.bio as the foundational infrastructure of the biotechnology sector (including drug discovery, predictive modelling and translational research). - Position bit.bio as a key provider of biologically relevant AI-ready data, by expanding platform asset access and installation across industry partners. - AI/ML, Data & Platform Collaboration Strategy: - Structure and negotiate data and platform agreements that enable partner access to bit.bio’s cell-derived datasets, including transcriptomic, functional and disease-model data generated from scalable engineered iPSC-derived cell systems. - Partner with internal bioinformatics and science teams to translate bit.bio’s discovery platform outputs into high-value engineering-ready data assets to drive advancements in predictive biology and drug development pipelines. - Build strategic relationships with tech orchestrators and cloud platforms to embed bit.bio data directly into advanced machine learning pipelines and biological operating systems. - Drive opportunities to develop joint data products, analytics capabilities, or predictive modelling services in collaboration with external partners. - End-to-End Partnership Deal Leadership: - Own the full lifecycle of complex strategic partnership deals, from opportunity identification and business case development to term sheet negotiation and execution. - Structure scalable collaboration models, managing negotiations involving exclusive platform access fees, IP rights, shared royalties, and multi-year data licensing structures. - Portfolio Strategy: - Contribute to the development of bit.bio’s broader partnership and portfolio strategy across key areas including data products, informatics and software collaborations, platform access, multi-cloud infrastructure and product out-licensing opportunities. - Identify strategic opportunities to expand the value of bit.bio’s cell programming platform through partnerships that connect biological models with digital infrastructure and advanced analytics. - Evaluate emerging technologies and ecosystem partnerships to continuously enhance the commercial potential of bit.bio’s proprietary technology stack and internal capabilities. - Cross-Functional Leadership: - Act as the commercial GTM lead for complex data and platform collaborations, ensuring seamless internal coordination from deal negotiation through to operational implementation. - Represent bit.bio, positioning the company as the gold-standard provider of deterministic ground truth data within data driven drug discovery and the predictive biology markets. Qualifications - Minimum Bachelor’s degree in Life Sciences, Computational Biology, Bioinformatics or a related subject (or equivalent experience). - Significant experience in business development, partnerships or strategic alliances within the life sciences, biotech or AI/ML SaaS sectors. - Strong understanding of AI/ML applications in drug discovery, computational biology or large-scale biological datasets. - Proven track record of structuring and negotiating complex scientific collaborations, data and platform partnerships or licensing agreements. - Demonstrated ability to manage end-to-end deal cycles and build long-term strategic partnerships. - Existing executive-level network of key decision makers within top-tier pharmaceutical companies, TechBio giants and AI-enabled biotechs. - A proven deal sheet demonstrating sustained revenue generation and successful negotiations within the life sciences. - Strong cross-functional skills with the ability to translate scientific innovation into commercial opportunities. Requirements - Proven track record of selling "visionary" or emerging products. - MBA qualification. - Advanced degree in life sciences, computational biology, bioinformatics, or a related field preferred. Benefits - Vibrant and dynamic work environment in an exciting, fast-moving time for biology. - Work with cutting edge technologies and with our world-leading scientific advisory board. - Opportunities to be involved in projects that are key to the success and growth of our young company. - Investment in people, creating opportunities for personal development in an inclusive multi-skilled team. - Encouragement of creativity and open minds for everyone to contribute to the success of the company.

Job Requirements

  • Minimum Bachelor’s degree in Life Sciences, Computational Biology, Bioinformatics or a related subject (or equivalent experience).
  • Significant experience in business development, partnerships or strategic alliances within the life sciences, biotech or AI/ML SaaS sectors.
  • Strong understanding of AI/ML applications in drug discovery, computational biology or large-scale biological datasets.
  • Proven track record of structuring and negotiating complex scientific collaborations, data and platform partnerships or licensing agreements.
  • Demonstrated ability to manage end-to-end deal cycles and build long-term strategic partnerships.
  • Existing executive-level network of key decision makers within top-tier pharmaceutical companies, TechBio giants and AI-enabled biotechs.
  • A proven deal sheet demonstrating sustained revenue generation and successful negotiations within the life sciences.
  • Strong cross-functional skills with the ability to translate scientific innovation into commercial opportunities.
  • Proven track record of selling "visionary" or emerging products.
  • MBA qualification.
  • Advanced degree in life sciences, computational biology, bioinformatics, or a related field preferred.

Benefits

  • Vibrant and dynamic work environment in an exciting, fast-moving time for biology.
  • Work with cutting edge technologies and with our world-leading scientific advisory board.
  • Opportunities to be involved in projects that are key to the success and growth of our young company.
  • Investment in people, creating opportunities for personal development in an inclusive multi-skilled team.
  • Encouragement of creativity and open minds for everyone to contribute to the success of the company.

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