At a Glance
- Tasks: Lead a team to develop AI models that revolutionise drug discovery.
- Company: Join a pioneering biotech firm at the forefront of AI and biology.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team shaping the future of medicine.
- Why this job: Make a real impact in healthcare by advancing AI in drug discovery.
- Qualifications: PhD in relevant field and significant leadership experience required.
The predicted salary is between 100000 - 150000 € per year.
We are looking for a motivated, experienced leader in the Machine Learning and AI space to join this company in their mission to reimagine how drugs are discovered. You will recruit and lead a team focused on building AI foundation models of biology that learn from massive amounts of data, and transfer across several diseases, tissue/cell types, and data types. The team you hire will be focused on genomics foundation models, patient representation learning, and perturbation modelling. We are looking for scientists, strategists, and builders - someone who thrives at the intersection of AI/ML, biology, and leadership.
Your responsibilities may include:
- Defining research agenda for foundation models applied to functional genomics
- Designing novel architectures for multi-modal biological data integration (genomics, transcriptomics, proteomics, clinical)
- Developing self-supervised learning approaches for omics and clinical data
- Collaborate on joint research programme to build architectures where learned representations support causal identifiability
- Lead graph neural network and transformer architecture research for biological networks
- Publish at top ML venues (NeurIPS, ICML, ICLR)
- Present work at conferences and build external reputation for the organization
Must have a PhD in related field, eg Mathematics, Machine Learning, Artificial Intelligence, Statistics etc. Must have significant post PhD experience in an industry setting (eg biotech, techbio, pharmaceutical company). Proven experience building a team of 10 or more - inspiring, influential leader who teams want to follow. Strong understanding of how to build foundational models for drug discovery (This will not be a hands-on role but you have to know what good looks like). Significant experience managing stakeholders from diverse backgrounds. Experience building tools that have impact on the pipeline (not just building for the sake of it).
This is a genuinely fantastic opportunity for an experienced leader to join this company right at the start, and play a key role in building this hub and steering their strategic direction.
Director of Machine Learning in London employer: KEMIO Consulting
Join a pioneering company at the forefront of drug discovery, where your leadership in Machine Learning will directly impact the future of healthcare. With a hybrid work model based in London, we foster a collaborative and innovative culture that values scientific excellence and personal growth. Our commitment to employee development, coupled with the opportunity to shape a high-performing team, makes this an exceptional place for those looking to make a meaningful difference in the world of AI and biology.
StudySmarter Expert Advice🤫
We think this is how you could land Director of Machine Learning in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and biotech fields. Attend industry events, webinars, or meetups where you can chat with potential colleagues or even future bosses. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your expertise! Create a portfolio or a personal website showcasing your projects, research, and any publications. This is your chance to demonstrate your leadership in machine learning and how you've made an impact in previous roles.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and drug discovery. Be ready to discuss how you would lead a team in building foundational models and integrating multi-modal biological data. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We want to see your application come through directly. It shows you're genuinely interested in joining us and helps us keep track of all the amazing talent out there.
We think you need these skills to ace Director of Machine Learning in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Director of Machine Learning role. Highlight your leadership experience, especially in AI/ML and biology, to show us you’re the right fit for our mission.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about drug discovery and how your background makes you the perfect candidate. Be genuine and let your personality come through!
Showcase Your Achievements:Don’t just list your responsibilities; we want to see your impact! Include specific examples of projects you've led or contributed to, especially those involving foundational models or team leadership in AI/ML.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team during the process!
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 and AI, especially as they relate to drug discovery. Familiarise yourself with foundational models and be ready to discuss how they can be applied to genomics and other biological data.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully built and led teams in the past. Highlight your ability to inspire and influence others, as this role requires someone who can lead a diverse group of scientists and strategists.
✨Be Ready to Discuss Research
Since publishing at top ML venues is part of the job, be prepared to talk about your previous research and any publications. Think about how your work aligns with the company's mission and be ready to share your vision for future research.
✨Understand Stakeholder Management
This role involves managing stakeholders from various backgrounds, so come equipped with examples of how you've navigated complex stakeholder relationships in the past. Show that you can communicate effectively across disciplines and build consensus.
