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- Tasks: Lead a team of AI researchers and engineers to innovate in biotech.
- Company: Basecamp Research is pioneering the future of biotech with AI and biodiversity data.
- Benefits: Enjoy a collaborative environment, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team making a real impact in biology and AI.
- Qualifications: Graduate degree in relevant field and 5+ years in AI/ML leadership required.
- Other info: Experience with protein design or genomics is a plus.
The predicted salary is between 57600 - 84000 £ per year.
At Basecamp Research, we're seeking a Head of AI to lead our team.
Who we are & about this role
We believe the future of biotech will be driven by combining diverse natural data sets with cutting-edge AI algorithms. We've built the largest ethically sampled biodiversity database and demonstrated state-of-the-art models in biology. After raising $60 million in Series B funding, we're expanding our team to develop next-generation biological foundation models. This role involves developing AI strategy, leading the AI team, and managing academic and industry partnerships, working in a highly collaborative environment of scientists and engineers.
Responsibilities
- Lead and manage a team of AI/ML researchers and engineers, fostering innovation
- Oversee development of novel AI/ML models and algorithms
- Collaborate with scientists, bioinformaticians, and engineers to define research goals and translate findings into applications
- Manage multiple research projects, ensuring alignment with company objectives
- Design AI system architecture, balancing research and production needs
- Provide thought leadership and mentorship within the team
- Represent Basecamp Research’s AI capabilities at conferences, publications, and collaborations
About You (Required):
- A graduate degree in Computer Science, Machine Learning, Computational Biology, or related field
- 5+ years in AI/ML research or engineering, with at least 4 years in a technical leadership role or 3 years in management
- Strong publication record or expertise in generative AI, deep learning, or computational biology
- Experience applying AI to biological problems, especially protein design or genomics
- Proven success in leading AI research projects and translating research into applications
- Excellent communication skills for diverse audiences
- Experience training large generative models on HPC GPUs or cloud platforms (AWS, Lambda, Azure)
- Strong problem-solving skills and critical thinking
- Strategic planning abilities
Additional Skills (desired):
- Experience with protein or DNA bioinformatics
- MLOps expertise
- Software engineering skills, data pipelining (e.g., Airflow), and cloud deployment experience
- Familiarity with Agile methodologies
If you're interested in joining as our new Head of AI, we'd love to hear from you!
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Head of AI (London) employer: Homerun B.V.
Contact Detail:
Homerun B.V. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI (London)
✨Tip Number 1
Network with professionals in the biotech and AI fields. Attend relevant conferences and workshops where you can meet potential colleagues and industry leaders. This will not only help you learn more about the role but also make valuable connections that could support your application.
✨Tip Number 2
Showcase your leadership experience by discussing specific projects where you've led a team or initiative. Be prepared to share examples of how you've fostered innovation and collaboration, as these are key aspects of the Head of AI role.
✨Tip Number 3
Stay updated on the latest advancements in AI and biotechnology. Familiarise yourself with current trends, especially in generative AI and computational biology, so you can speak knowledgeably about how these can be applied at Basecamp Research.
✨Tip Number 4
Prepare to discuss your strategic planning abilities. Think about how you would approach developing an AI strategy for Basecamp Research and be ready to present your ideas during interviews. This will demonstrate your fit for the leadership aspect of the role.
We think you need these skills to ace Head of AI (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML research and leadership. Focus on relevant projects, especially those involving biological applications, and ensure your publication record is prominently displayed.
Craft a Compelling Cover Letter: In your cover letter, express your passion for combining AI with biotechnology. Discuss your vision for the role and how your background aligns with Basecamp Research's mission and objectives.
Showcase Your Leadership Experience: Emphasise your experience in managing teams and projects. Provide specific examples of how you've led AI initiatives, mentored team members, and collaborated with cross-functional teams to achieve research goals.
Highlight Technical Skills: Detail your technical expertise, particularly in generative AI, deep learning, and cloud platforms. Mention any experience with MLOps, software engineering, and data pipelining, as these are valuable for the role.
How to prepare for a job interview at Homerun B.V.
✨Showcase Your Leadership Experience
As a candidate for the Head of AI position, it's crucial to highlight your leadership experience. Be prepared to discuss specific examples of how you've successfully led AI/ML teams, managed projects, and fostered innovation in previous roles.
✨Demonstrate Technical Expertise
Make sure to articulate your technical skills clearly, especially in areas like generative AI, deep learning, and computational biology. Prepare to discuss your publication record and any relevant projects that showcase your ability to apply AI to biological problems.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with scientists and engineers, be ready to discuss how you approach teamwork. Share examples of successful collaborations and how you’ve translated research findings into practical applications.
✨Communicate Your Vision
Articulate your vision for AI strategy within the biotech field. Be prepared to discuss how you would balance research and production needs, and how you plan to represent the company's AI capabilities at conferences and publications.
