At a Glance
- Tasks: Embed AI models in research and clinical settings to enhance brain health.
- Company: Frontier technology company focused on innovative healthcare solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Join us to tackle significant challenges in healthcare with cutting-edge AI technology.
- Qualifications: Strong programming skills and experience in high-stakes model deployment.
- Other info: Collaborative environment with a focus on impactful research.
The predicted salary is between 36000 - 60000 £ per year.
A frontier technology company is seeking talented individuals to embed their AI models with research institutes and clinics. The role emphasizes collaboration, understanding complex workflows, and establishing best deployment practices.
Candidates should have strong programming skills, comfort in navigating ambiguity, and experience in deploying models in high-stakes environments, particularly in healthcare.
Join us in tackling significant challenges in understanding and enhancing brain health.
Embedded AI Scientist — Bioinformatics & Clinical Deployments employer: Antler
Contact Detail:
Antler Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Embedded AI Scientist — Bioinformatics & Clinical Deployments
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics and healthcare sectors. Attend relevant meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your programming prowess and any AI models you've deployed. Use GitHub or personal websites to display your projects. We want to see how you tackle complex workflows and navigate ambiguity!
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and recent projects. Understand their approach to brain health and think about how your experience aligns with their goals. We’re all about collaboration, so come ready to discuss how you can contribute!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative. Don’t forget to follow up after applying; a little nudge can go a long way in showing your enthusiasm!
We think you need these skills to ace Embedded AI Scientist — Bioinformatics & Clinical Deployments
Some tips for your application 🫡
Showcase Your Skills: Make sure to highlight your programming skills and any experience you have with AI models. We want to see how you can navigate complex workflows, so don’t hold back on sharing relevant projects or experiences!
Tailor Your Application: Take a moment to customise your application for the Embedded AI Scientist role. Mention specific aspects of the job description that resonate with you and how your background aligns with our mission in enhancing brain health.
Be Clear and Concise: When writing your application, clarity is key! We appreciate straightforward communication, so keep your sentences clear and to the point. Avoid jargon unless it’s necessary to showcase your expertise.
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’re considered for this exciting opportunity to work at the forefront of technology in healthcare!
How to prepare for a job interview at Antler
✨Know Your AI Inside Out
Make sure you’re well-versed in the AI models relevant to bioinformatics and clinical deployments. Brush up on your programming skills and be ready to discuss how you've previously navigated complex workflows, especially in high-stakes environments like healthcare.
✨Showcase Collaboration Skills
This role is all about teamwork! Prepare examples of past collaborations with research institutes or clinics. Highlight how you’ve worked with diverse teams to embed AI solutions effectively and what best practices you established during those projects.
✨Embrace Ambiguity
Since the job involves navigating ambiguity, think of instances where you’ve thrived in uncertain situations. Be ready to share how you approached challenges without clear guidelines and what strategies you used to find solutions.
✨Prepare for Real-World Scenarios
Expect scenario-based questions that test your problem-solving skills in deploying AI models. Think through potential challenges in understanding brain health and how you would tackle them. This will show your ability to apply theoretical knowledge to practical situations.