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- Tasks: Lead AI algorithm development and implement cutting-edge AI/ML techniques.
- Company: Join a biotech start-up revolutionizing drug discovery with AI advancements.
- Benefits: Enjoy a hybrid work model and a competitive salary up to £140,000.
- Why this job: Be at the forefront of AI innovation in a dynamic and collaborative environment.
- Qualifications: MSc or PhD in relevant fields and strong programming skills required.
- Other info: Work 4 days onsite and engage with non-technical stakeholders.
The predicted salary is between 84000 - 196000 £ per year.
Job Description Director, Applied AI Up to £140,000 London (Hybrid, 4 days onsite per week) Company: This Biotech and Pharmaceutical start-up are working on the latest advancements across AI/ML to transform the future of drug-discovery. Responsibilities: Lead the development and implementation of advanced AI algorithms, with a focus on cutting-edge AI/ML techniques Define and deliver the AI/ML strategy and roadmap for the organisation, ensuring alignment with long-term business objectives and future industry trends Discover and develop opportunities with colleagues to turn business needs into well-defined AI/ML problems Foster a culture of innovation, encouraging experimentation and research to keep the company on the cutting edge of AI technologies. Stay current with the latest advancements in machine learning and AI research and technology Communicate complex AI/ML concepts and results to non-technical stakeholders Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong programming skills in languages such as Python and SQL Proven track record of successfully delivering large-scale commercial machine learning products Excellent problem-solving skills Strong communication skills, with the ability to work eff…
Director, Applied AI employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, Applied AI
✨Tip Number 1
Make sure to showcase your leadership experience in AI/ML projects. Highlight any instances where you've successfully led teams or initiatives that resulted in significant advancements in technology or product development.
✨Tip Number 2
Stay updated on the latest trends and breakthroughs in AI and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare to articulate how you would align AI/ML strategies with business objectives. Think about specific examples from your past experiences where you successfully turned business needs into actionable AI solutions.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms. Since you'll be communicating with non-technical stakeholders, being able to break down intricate ideas will be crucial for your success in this role.
We think you need these skills to ace Director, Applied AI
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Director, Applied AI position. Understand the key responsibilities and requirements, especially the focus on AI/ML techniques and leadership in a biotech context.
Tailor Your CV: Customize your CV to highlight relevant experience in AI/ML, particularly any projects or roles that demonstrate your ability to lead and innovate in this field. Emphasize your programming skills in Python and SQL.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for AI and its application in drug discovery. Mention specific examples of how you've turned business needs into AI solutions.
Showcase Communication Skills: Since the role requires communicating complex concepts to non-technical stakeholders, include examples in your application that demonstrate your ability to simplify technical information and engage diverse audiences.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML algorithms in detail. Highlight specific projects where you successfully implemented advanced techniques, and be ready to explain the impact of your work on drug discovery or similar fields.
✨Align with Business Objectives
Understand the company's long-term goals and be ready to articulate how your AI/ML strategy can support these objectives. Discuss how you can turn business needs into well-defined AI problems that drive innovation.
✨Demonstrate Leadership and Collaboration
As a director, you'll need to lead teams and collaborate across departments. Share examples of how you've fostered a culture of innovation and encouraged experimentation in previous roles.
✨Communicate Complex Concepts Simply
Prepare to explain complex AI/ML concepts to non-technical stakeholders. Practice simplifying your explanations without losing the essence of the technology, as this will be crucial for effective communication in the role.
