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- Tasks: Lead the development of AI models for groundbreaking biological research.
- Company: Join a pioneering team focused on innovative BioAI technologies.
- Benefits: Opportunity to work in Cambridge with support for relocation; collaborative environment.
- Why this job: Make a real impact on patient lives while working at the forefront of AI innovation.
- Qualifications: PhD in relevant fields and expertise in multi-omics and single-cell biology required.
- Other info: Weekly onsite presence in Cambridge; open to exceptional EU applicants.
The predicted salary is between 48000 - 72000 £ per year.
My client is looking for an exceptional BioAI scientist to lead and contribute to the development of a foundational model to discover novel biomarker insights, and for the discovery and development of biologics. The ideal candidate will have experience in the development and training of foundational models, applied to single cell, spatial biology, genomics, and related multi-omics.
Your Tasks:
- Build and apply advanced AI models (e.g., transformers, VAEs, large-scale foundation models, and self-supervised or multimodal architectures) to support biological research.
- Develop, refine and optimise AI systems and tools, with a focus on Multi-omics and Single cell.
- Utilise your deep knowledge of single-cell and spatial data, from various tissues and disease types, using both public (e.g. HCA) and internal resources, to acquire, curate and prepare datasets.
- Work in cross-functional teams to ensure application of these models are applicable to practical biological applications.
Your profile (ESSENTIAL):
- PHD degree in relevant area (Machine Learning, AI, bioinformatics, Comp Bio, Physics etc).
- Extensive knowledge of Multi-omics datasets with a focus on Single-cell and Spatial Biology.
- Expertise in utilising GPUs for AI/ML model training.
- You have an exceptional publication record of AI method development for Biology (NeurIPS, Nature etc).
- Strong software development skills; Python (and relevant libraries), Cloud infrastructure etc.
- You're highly motivated to work at the forefront of innovation, keen to develop the next generation of BioAI technologies to make significant impact to patient lives.
To note: Open to exceptional EU applicants and can support in bringing you to Cambridge, UK. Role requires weekly onsite presence in Cambridge, UK. Further details will be given on screening call.
Additional questions? ellie.cockburn@umbilical-life.com OR drop me a DM.
BioAI Scientist / ML Engineer - Foundational Model Development employer: Umbilical Life
Contact Detail:
Umbilical Life Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land BioAI Scientist / ML Engineer - Foundational Model Development
✨Tip Number 1
Network with professionals in the BioAI and ML fields. Attend relevant conferences, webinars, or meetups to connect with industry experts and learn about the latest trends. This can help you gain insights into what companies like us are looking for in candidates.
✨Tip Number 2
Showcase your expertise in foundational models and multi-omics through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your skills can set you apart from other candidates and catch our attention.
✨Tip Number 3
Engage with our content on social media and professional platforms. By following us and interacting with our posts, you can stay updated on our work and demonstrate your genuine interest in our mission and projects.
✨Tip Number 4
Prepare to discuss your publication record in detail during interviews. Be ready to explain your research, methodologies, and the impact of your work. This will show us your depth of knowledge and passion for advancing BioAI technologies.
We think you need these skills to ace BioAI Scientist / ML Engineer - Foundational Model Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in developing and training foundational models, particularly in single-cell and spatial biology. Emphasise any relevant projects or publications that showcase your expertise in AI methods for biology.
Craft a Compelling Cover Letter: In your cover letter, express your passion for BioAI and how your background aligns with the company's goals. Mention specific experiences that demonstrate your ability to work with multi-omics datasets and your motivation to innovate in this field.
Highlight Technical Skills: Clearly outline your technical skills, especially in Python, GPU utilisation, and cloud infrastructure. Provide examples of how you've applied these skills in previous roles or projects to solve complex biological problems.
Showcase Your Publication Record: If you have an exceptional publication record, make sure to include it in your application. Highlight key papers that are relevant to AI method development for biology, especially those published in high-impact journals like NeurIPS or Nature.
How to prepare for a job interview at Umbilical Life
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with foundational models and multi-omics datasets in detail. Highlight specific projects where you've applied advanced AI techniques, such as transformers or VAEs, and be ready to explain the impact of your work on biological research.
✨Demonstrate Collaborative Skills
Since the role involves working in cross-functional teams, share examples of how you've successfully collaborated with others in previous roles. Emphasise your ability to communicate complex technical concepts to non-experts, which is crucial for practical applications in biology.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly in relation to optimising AI systems for biological applications. Think of scenarios where you encountered challenges in model training or data preparation and how you overcame them.
✨Highlight Your Passion for Innovation
Convey your enthusiasm for working at the forefront of BioAI technologies. Discuss any personal projects or research that demonstrate your motivation to make a significant impact on patient lives through innovative solutions in the field.
