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- Tasks: Lead AI/ML initiatives in functional genomics and build a top-notch research team.
- Company: Join KEMIO Consulting, a leader in innovative AI solutions.
- Benefits: Competitive salary, full-time role, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by translating ML into biological insights.
- Qualifications: PhD in ML or related field with strong research and leadership experience.
- Other info: Work in a dynamic environment with a focus on cutting-edge technology.
The predicted salary is between 100000 - 150000 £ per year.
Join KEMIO Consulting as a leader in AI/ML, driving foundation-model strategy for functional genomics. You will design multimodal architectures, build a high‐performing research team, and translate ML into biological insights.
Research & Technical Leadership
- Define the research agenda for foundation models in functional genomics
- Develop self‐supervised and representation learning methods for biological data
- Lead research on transformers and graph neural networks for biological systems
- Co‐design architectures with the Causal & Mechanistic AI team to support causal identifiability
- Set standards for evaluation, reproducibility, and biological validity
- Hire, mentor, and grow a high‐performing ML research team
- Partner closely with computational biology teams and external academic collaborators
Applied Impact
- Apply foundation models to target identification, biomarker discovery, and patient stratification
- Guide build vs adapt vs buy decisions for models and tooling
Ideal Background
- PhD in ML, Computer Science, Computational Biology, or related field plus several years of post‐study industry experience
- Strong publication record in top ML or computational biology venues
- Deep experience with foundation models, self‐supervised or representation learning
- Strong knowledge of transformers, geometric deep learning (GNNs), or variational methods
- Experience with multimodal learning and large‐scale model training (PyTorch or JAX)
- Proven research impact (e.g., multiple publications at NeurIPS/ICML/ICLR/Nature Methods or similar)
- Must have experience recruiting, mentoring and leading high‐performing ML teams
Domain Experience (Preferred)
- Hands‐on experience with omics and/or clinical data
- Understanding of functional genomics concepts (e.g., GWAS, gene regulation, pathways)
- Familiarity with biological validation of ML models
Seniority level: Director
Employment type: Full‐time
Job function: Science and Research
Industries: Pharmaceutical Manufacturing, Biotechnology Research, and Research Services
Location and Compensation: City Of London, England, United Kingdom | £100,000.00‐£150,000.00 per annum
Head of Machine Learning in London employer: KEMIO Consulting
Contact Detail:
KEMIO Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space, especially those who might know someone at KEMIO Consulting. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or presentation that highlights your research and projects related to foundation models and functional genomics. This will help you stand out during interviews.
✨Tip Number 3
Be ready to discuss your vision! Think about how you would define the research agenda for foundation models in functional genomics and be prepared to share your ideas. This shows you're not just a follower but a leader.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at KEMIO Consulting.
We think you need these skills to ace Head of Machine Learning in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Head of Machine Learning role. Highlight your experience with foundation models and any relevant publications. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML in functional genomics and how you can lead our research team. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Leadership Skills: Since this role involves mentoring and leading a high-performing team, make sure to highlight your leadership experience. Share examples of how you've successfully built teams or guided projects in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at KEMIO Consulting
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning, especially around foundation models and self-supervised learning. Be ready to discuss your past research and how it relates to functional genomics. This shows you're not just a candidate; you're a thought leader in the field.
✨Showcase Your Leadership Skills
Since this role involves building and mentoring a high-performing team, be prepared to share specific examples of how you've successfully led teams in the past. Talk about your approach to hiring and mentoring, and how you've fostered a collaborative environment.
✨Connect with Their Vision
Research KEMIO Consulting's current projects and their vision for AI/ML in functional genomics. During the interview, align your experiences and ideas with their goals. This demonstrates that you're not only interested in the role but also invested in their mission.
✨Prepare for Technical Questions
Expect deep technical questions related to transformers, graph neural networks, and multimodal learning. Brush up on your knowledge of PyTorch or JAX, and be ready to discuss your hands-on experience with omics data. Practising coding problems or case studies can also give you an edge.
