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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 teamwork 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 people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Senior AI Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation showcasing your previous projects, especially those related to protein & DNA modelling or computer vision. This will help us see your hands-on experience in action.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your model development and real-world data experience. Mock interviews with friends or mentors can really boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior AI Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Scientist role. Highlight your experience with model development and real-world data, especially in biotech or clinical settings. We want to see how your skills align with our projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applied AI and how your background fits into our mission at StudySmarter. Be specific about your experiences with protein & DNA modelling or computer vision.
Showcase Collaboration Skills: Since collaboration is key for us, make sure to mention any past experiences where you worked across teams. Whether it’s research, engineering, or scientific teams, we want to know how you’ve contributed to successful projects!
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 Hlx Life Sciences
✨Know Your Models Inside Out
Make sure you can discuss your experience with model development, deployment, and adaptation in detail. Be ready to explain how you've tackled real-world data challenges, 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 stakeholders, 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 suggest how your skills could contribute will impress the interviewers and show your genuine interest in their work.
✨Prepare for Technical Questions
Expect technical questions related to protein & DNA modelling and computer vision. Brush up on relevant algorithms and techniques, and be prepared to solve problems on the spot. Practising with mock interviews can help you feel more confident when tackling these questions.
