At a Glance
- Tasks: Build and manage a vibrant community for AI-driven biological discovery from the ground up.
- Company: Join a pioneering tech company at the forefront of AI and biology.
- Benefits: Competitive salary, equity options, 30 days annual leave, and hybrid work flexibility.
- Other info: Be part of a dynamic team with direct access to decision-makers and exciting growth opportunities.
- Why this job: Shape the future of AI in biology while connecting with leading researchers and innovators.
- Qualifications: 5+ years in community management or scientific outreach, with strong communication skills.
The predicted salary is between 63000 - 77000 £ per year.
The opportunity involves building relationships, channels, content, events, and feedback loops to create an active community of researchers, data scientists, and ML engineers for Substrate. Substrate is developing a network of autonomous wet laboratories, serving as the infrastructure for AI-driven biological discovery.
You will own Substrate's community function end to end, with immediate priorities including:
- Establishing Substrate's presence in relevant communities such as AI-biology conferences and academic research groups.
- Building and managing community channels and creating content that showcases the platform's capabilities.
- Representing Substrate at conferences and tracking engagement to inform commercial and product decisions.
- Mapping existing relationships across research institutions and AI labs to support a community-first strategy.
- Publishing substantive technical community content to demonstrate the platform's relevance to researchers.
- Coordinating the launch event for the London node and managing researcher outreach.
- Establishing a feedback loop between the community and product teams.
- Building the San Francisco community presence in parallel.
- Developing a sustainable content calendar and refining community infrastructure.
- Producing a community playbook documenting effective strategies for engagement.
The ideal candidate will have:
- Five or more years in community management, developer relations, scientific outreach, or technical partnerships within AI, tech, or biotech companies.
- A demonstrated ability to build a technical community from a low base, producing credible content and managing relationships.
- Strong written communication skills and scientific or technical literacy to engage with biology, data science, and AI practitioners.
- A willingness to be based in London or San Francisco, with travel to key scientific conferences.
- A scientific background (BSc or higher) in biology, biochemistry, computer science, or a related field.
- Experience in a developer relations or community role at a platform or infrastructure company.
- Existing relationships within the AI x biology research community.
Compensation is competitive against market rates for senior community hires at venture-backed companies, with a hybrid work model favouring in-person collaboration. Candidates are expected to be present at the King's Cross lab and office most working days during the first six months.
To apply, include a short message about your suitability for the role and the challenges of building a technical research community from scratch, along with your CV and links to any relevant content. The application process consists of a conversation with Anna, a short content task, and an in-person session with the founding team.
Manager data management in London employer: Substrate Bio
Substrate is an innovative employer at the forefront of AI-driven biological discovery, offering a unique opportunity to work in a fully autonomous lab environment in King’s Cross, London. With a strong focus on employee growth, competitive compensation, and a collaborative work culture, Substrate encourages hands-on involvement in cutting-edge functional genomics research while providing a supportive atmosphere for professional development. The company values direct communication and fosters a learning-oriented environment, making it an excellent place for scientists eager to make a meaningful impact in their field.