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- Tasks: Ensure AI accuracy in healthcare by validating clinical reasoning and pharmacological facts.
- Company: Join TELUS Digital, a leader in AI healthcare innovation.
- Benefits: Competitive pay, flexible work options, and a chance to shape the future of healthcare.
- Other info: Be part of a diverse community committed to inclusivity and excellence.
- Why this job: Make a real difference in patient care with cutting-edge AI technology.
- Qualifications: Bachelor’s degree in Medicine, Pharmacy, Nursing, or Biomedical Sciences required.
The predicted salary is between 60000 - 80000 £ per year.
At TELUS Digital, we believe that when AI enters the healthcare space, accuracy is a matter of life and death. As a Clinical & Medical AI Expert, you are the guardian of medical truth. You will join an elite circle of healthcare professionals within our AI Community tasked with training Large Language Models (LLMs) on complex diagnostics, pharmacology, and patient care logic. Your role is to ensure that AI does not just "predict" text, but reasons through clinical data with the precision of a board-certified professional.
Responsibilities
- Clinical Reasoning Validation: Audit AI "Chain-of-Thought" reasoning for medical diagnostics to ensure adherence to international clinical protocols (e.g., ICD-11, DSM-5).
- Pharmacological Fact-Grounding: Rigorously verify AI-generated drug interactions, dosage recommendations, and contraindications against peer-reviewed medical literature.
- Specialized Bio-Medical Annotation: Precisely label complex datasets—including MRI/CT scans, pathology reports, and genomic data—to improve model visual-spatial reasoning.
- Risk & Hallucination Mitigation: Identify and neutralize "medical hallucinations" that could lead to patient harm, creating high-fidelity safety guardrails for clinical environments.
Qualifications
- Mandatory Qualifications:
- Education: Minimum of a Bachelor’s Degree in Medicine (MD/MBBS), Pharmacy (PharmD), Nursing, or Biomedical Sciences.
- Native Language: Native-level proficiency (C2+) in your primary language is mandatory to interpret regional medical terminology and localized patient nuances.
- English Proficiency: Minimum B1 (Intermediate) level English for technical research and reporting.
Assessment: In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.
All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
Clinical & Medical AI Expert (AI Community) employer: TELUS Digital
Contact Detail:
TELUS Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Clinical & Medical AI Expert (AI Community)
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI sectors on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Prepare for interviews by brushing up on clinical reasoning and pharmacology. We recommend practising common interview questions related to AI in healthcare, so you can showcase your expertise and confidence when it counts.
✨Tip Number 3
Don’t forget to leverage our website! Apply directly through StudySmarter to streamline your application process and ensure your CV gets the attention it deserves. Plus, we often have exclusive opportunities listed just for you.
✨Tip Number 4
Stay updated on the latest trends in AI and healthcare. Follow industry news, read research papers, and participate in webinars. This knowledge will not only help you in interviews but also show your passion for the field.
We think you need these skills to ace Clinical & Medical AI Expert (AI Community)
Some tips for your application 🫡
Show Your Expertise: Make sure to highlight your qualifications and experience in the medical field. We want to see how your background aligns with the role of a Clinical & Medical AI Expert, so don’t hold back on showcasing your skills!
Tailor Your Application: Customise your application to reflect the specific responsibilities mentioned in the job description. We love it when candidates connect their experiences directly to what we’re looking for, so make it personal!
Be Clear and Concise: When writing your application, clarity is key. We appreciate straightforward language that gets to the point. Avoid jargon unless it’s relevant, and ensure your passion for the role shines through!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at TELUS Digital
✨Know Your Medical Protocols
Familiarise yourself with international clinical protocols like ICD-11 and DSM-5. Being able to discuss these in detail will show that you understand the importance of accuracy in medical AI and can validate clinical reasoning effectively.
✨Brush Up on Pharmacology
Make sure you’re well-versed in drug interactions, dosage recommendations, and contraindications. Prepare to discuss recent studies or peer-reviewed literature that support your knowledge, as this will demonstrate your commitment to rigorous fact-checking.
✨Showcase Your Annotation Skills
Be ready to talk about your experience with bio-medical annotation. If you have examples of datasets you've worked on, especially complex ones like MRI scans or genomic data, share those. This will highlight your ability to improve model reasoning.
✨Prepare for Risk Management Scenarios
Think about potential 'medical hallucinations' that could arise in AI applications. Prepare to discuss how you would identify and mitigate these risks, showcasing your proactive approach to patient safety and high-fidelity guardrails.