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- Tasks: Lead a team of AI researchers and engineers to innovate in biotech.
- Company: Basecamp Research is pioneering the fusion of AI and biodiversity data.
- Benefits: Join a funded startup with opportunities for collaboration and growth.
- Why this job: Shape the future of biotech while working with cutting-edge technology and diverse teams.
- Qualifications: Graduate degree in relevant fields and 5+ years in AI/ML research or engineering required.
- Other info: Opportunity to represent the company at conferences and contribute to impactful projects.
The predicted salary is between 72000 - 108000 £ per year.
At Basecamp Research, we're seeking a Head of AI to lead our team.
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!
Head of AI 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
✨Tip Number 1
Network with professionals in the biotech and AI fields. Attend relevant conferences, webinars, or meetups to connect with potential colleagues and industry leaders. This can help you gain insights into the latest trends and possibly get a referral.
✨Tip Number 2
Showcase your thought leadership by engaging in discussions on platforms like LinkedIn or ResearchGate. Share your insights on AI applications in biology, which can demonstrate your expertise and passion for the field.
✨Tip Number 3
Consider collaborating on research projects or publications with academic institutions or industry partners. This not only enhances your CV but also expands your professional network, making you a more attractive candidate.
✨Tip Number 4
Stay updated on the latest advancements in AI and biotechnology. Follow key journals, blogs, and influencers in the field to ensure you can speak knowledgeably about current trends during interviews.
We think you need these skills to ace Head of AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML research and leadership. Emphasise your relevant skills, such as your expertise in generative AI and computational biology, and include specific examples of projects you've led.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the intersection of AI and biotechnology. 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 AI applications in biology, as this will demonstrate your expertise in the field.
Prepare for Technical Questions: Anticipate technical questions related to AI/ML models and algorithms during the interview process. Be ready to discuss your problem-solving approach and how you've successfully applied AI to biological challenges in the past.
How to prepare for a job interview at Homerun B.V.
✨Showcase Your Leadership Experience
As a Head of AI, you'll be expected to lead a team. Be prepared to discuss your previous leadership roles, how you foster innovation, and any successful projects you've managed. Highlight specific examples where your leadership made a difference.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of AI/ML models, especially in the context of biological applications. Be ready to discuss your experience with generative AI, deep learning, and any relevant publications. This will show that you have the technical chops for the role.
✨Prepare for Collaborative Scenarios
Collaboration is key in this role. Think of examples where you've worked with cross-functional teams, such as scientists or engineers, to achieve research goals. Be ready to explain how you navigate different perspectives and drive projects forward.
✨Articulate Your Vision for AI Strategy
The role involves steering the AI strategy at Basecamp Research. Prepare to discuss your vision for AI in biotech, how you would approach developing innovative strategies, and how you plan to balance research with practical applications.
