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- Tasks: Develop AI models for healthcare, climate, and biotech projects that make a real-world impact.
- Company: Join a leading team in applied AI within a dynamic science and engineering division.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and contribute to groundbreaking research.
- Qualifications: PhD in Computer Science and 3-7 years of relevant industry experience required.
- Other info: Work onsite in Oxford with a focus on collaboration and real-world applications.
The predicted salary is between 60000 - 84000 £ per year.
Role: AI Scientist ~x3 Job Openings
Location: Oxford
Working Model: Onsite every Tuesday & Wednesday
About the Company
The Applied AI team sits within cience and engineering division, focused on translating ML research into real-world impact across healthcare, climate, and biotechnology. Their current projects include antimicrobial resistance (AMR), plant phenotyping, and patient-journey modelling.
About the Roles & Responsibilities
- Protein & DNA Modelling – building and adapting ML models to biological sequence and structure data, often leveraging foundation models such as ESM and EMO.
- Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems.
- LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols.
Qualifications
- PhD in Computer Science or related field
- 3-7 years experience in Biotech, Clinical or related Industry
- Hands-on experience with model development, deployment, and adaptation (beyond theoretical work).
- Experience working with real-world data (imaging, biological, or EHR-based).
- The ability to collaborate effectively across research, engineering, and scientific teams.
Required Skills
- Model development, deployment, and adaptation.
- Real-world data experience.
- Collaboration across teams.
Preferred Skills
- Experience with imaging data.
- Knowledge of biological data.
- Familiarity with EHR-based data.
Senior AI Scientist employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to protein & DNA modelling or computer vision. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role. We want to see how well you can communicate your ideas!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in model development and real-world data. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Collaboration Skills: Since we value teamwork, mention any experiences where you’ve successfully collaborated across different teams. Highlighting your ability to work with researchers and engineers will definitely catch our eye!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Models Inside Out
Make sure you can discuss your experience with model development and deployment in detail. Be ready to explain how you've adapted models for real-world applications, especially in biotech or clinical settings. This will show that you’re not just theoretical but have hands-on experience.
✨Showcase Your Collaboration Skills
Since the role requires effective collaboration across teams, prepare examples of past projects where you worked with diverse groups. Highlight how you communicated complex AI concepts to non-technical team members, as this will demonstrate your ability to bridge gaps between research and engineering.
✨Familiarise Yourself with Their Projects
Research the company’s current projects like antimicrobial resistance and patient-journey modelling. Being able to discuss these initiatives and how your skills can contribute will show your genuine interest and help you stand out as a candidate who is aligned with their mission.
✨Prepare for Technical Questions
Expect technical questions related to protein and DNA modelling, computer vision, and large language models. Brush up on relevant algorithms and techniques, and be prepared to solve problems on the spot. This will demonstrate your expertise and readiness for the challenges of the role.
