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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 cutting edge of science.
- Qualifications: PhD in relevant fields and expertise in Multi-omics and Single-cell Biology required.
- Other info: Weekly onsite presence in Cambridge is necessary; open to exceptional EU applicants.
The predicted salary is between 43200 - 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.
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 or webinars where you can meet 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
Engage with online communities focused on BioAI and machine learning. Platforms like LinkedIn, GitHub, and specialised forums can be great places to showcase your expertise and connect with potential colleagues or mentors who might refer you to opportunities at StudySmarter.
✨Tip Number 3
Stay updated on the latest research and advancements in multi-omics and single-cell biology. Reading recent publications and following key researchers can provide you with talking points during interviews and demonstrate your passion for the field.
✨Tip Number 4
Prepare to discuss your previous projects in detail, especially those involving foundational models and AI applications in biology. Be ready to explain your thought process, challenges faced, and how your work has contributed to advancements in the field, as this will impress us during the interview.
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 relevant experience in BioAI, machine learning, and foundational model development. Emphasise your PhD and any publications in top-tier journals like NeurIPS or Nature.
Craft a Compelling Cover Letter: In your cover letter, express your passion for BioAI and how your skills align with the role. Mention specific projects where you've applied AI models to biological research, particularly in multi-omics and single-cell biology.
Showcase Technical Skills: Clearly outline your technical expertise in Python, GPU utilisation, and cloud infrastructure. Provide examples of how you've used these skills in previous roles or projects to develop and optimise AI systems.
Highlight Collaborative Experience: Since the role involves working in cross-functional teams, include examples of past collaborations. Describe how you contributed to team projects and the impact of your work on practical biological applications.
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 Your Problem-Solving Skills
During the interview, expect to face technical challenges or case studies related to single-cell and spatial biology. Approach these problems methodically, showcasing your analytical thinking and how you would apply AI solutions to real-world biological applications.
✨Highlight Collaborative Experience
Since the role involves working in cross-functional teams, share examples of past collaborations. Discuss how you effectively communicated complex AI concepts to non-technical team members and how you contributed to achieving common goals.
✨Prepare for Questions on Innovation
The company is looking for someone motivated to innovate in BioAI technologies. Be ready to discuss your vision for the future of AI in biology, including any emerging trends or technologies you believe could significantly impact patient lives.
