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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 us to shape the future of AI in biology and make a real impact.
- Qualifications: Graduate degree in relevant fields and 5+ years in AI/ML research or engineering required.
- Other info: Be part of a rapidly growing company backed by $60 million in funding.
The predicted salary is between 72000 - 108000 £ 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 combine 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 are expanding our team and resources to develop next-generation biological foundation models. This role involves steering our AI strategy, leading the AI team, and managing collaborations with academia and industry, including partnerships with major tech companies. You'll develop AI strategies based on innovative, science-driven data in a collaborative environment.
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 apply findings
- Manage multiple research projects aligned with company objectives
- Design AI system architecture, balancing research and production needs
- Provide thought leadership and mentorship within the team
- Represent Basecamp Research at conferences, publications, and collaborations
About You (Required):
- 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 lead 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 and translating it into practical applications
- Excellent communication skills for diverse audiences
- Experience training large generative models on HPC GPUs or cloud platforms like AWS, Lambda, Azure
- Strong problem-solving skills and critical thinking in AI research
- Strategic planning abilities
Additional Skills (desired):
- Experience with protein or DNA bioinformatics
- MLOps expertise
- Software engineering skills, data pipelining (e.g., Airflow), cloud deployment experience
- Knowledge of Agile methodologies
Interested in joining as our Head of AI? We look forward to hearing from you!
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Locations
Head of AI (Islington) 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 (Islington)
✨Tip Number 1
Network with professionals in the biotech and AI fields. Attend relevant conferences or webinars where you can meet potential colleagues or collaborators. This will not only help you understand the industry better but also make valuable connections that could lead to opportunities.
✨Tip Number 2
Showcase your expertise by contributing to discussions on platforms like LinkedIn or ResearchGate. Share insights on AI applications in biology, particularly in areas like protein design or genomics. This will position you as a thought leader and attract attention from companies like Basecamp Research.
✨Tip Number 3
Familiarise yourself with the latest advancements in AI and machine learning, especially those related to biological data. Being well-versed in current trends and technologies will demonstrate your commitment to the field and your ability to lead innovative projects.
✨Tip Number 4
Prepare to discuss your previous leadership experiences in AI/ML during interviews. Be ready to share specific examples of how you've successfully managed teams and projects, as well as how you've translated research into practical applications. This will highlight your suitability for the Head of AI role.
We think you need these skills to ace Head of AI (Islington)
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 quantify your achievements where possible.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of AI and biology. Discuss how your background aligns with Basecamp Research's mission and how you can contribute to their innovative projects.
Showcase Your Publications: If you have a strong publication record, include a section in your application that lists your most relevant papers. Highlight any work related to generative AI, deep learning, or computational biology to demonstrate your expertise.
Prepare for Interviews: Anticipate questions about your leadership style, strategic planning abilities, and experience with AI applications in biology. Be ready to discuss specific projects and how you overcame challenges in your previous roles.
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 teams in AI/ML research or engineering, and how you fostered innovation within those teams.
✨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 past projects and publications, focusing on how you've applied AI to biological problems, such as protein design or genomics.
✨Prepare for Collaborative Scenarios
Since the role involves collaboration with scientists and engineers, be ready to discuss how you've worked in interdisciplinary teams. Share examples of how you've defined research goals and applied findings in a collaborative environment, showcasing your communication skills.
✨Strategic Vision and Problem-Solving
The interviewers will be interested in your strategic planning abilities. Prepare to discuss how you've managed multiple research projects aligned with company objectives and how you've approached problem-solving in AI research, particularly in high-pressure situations.
