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- Tasks: Help shape AI in healthcare by designing clinical scenarios and evaluating diagnostic accuracy.
- Company: Join Turing, a leading AI research accelerator based in San Francisco.
- Benefits: Fully remote work, flexible hours, and the chance to influence next-gen AI.
- Other info: Collaborative environment with potential for extension beyond initial month.
- Why this job: Make a real impact on AI's role in patient care and medical reasoning.
- Qualifications: MD or equivalent with recent practice; strong internal medicine knowledge required.
The predicted salary is between 30000 - 40000 £ per year.
In this project, you will leverage your expertise in internal medicine to help fine-tune large language models (like ChatGPT). Your deep understanding of diagnostic reasoning, chronic disease management, and patient care will help ensure AI systems deliver accurate, empathetic, and safe medical reasoning.
What You'll Do
- Design and solve advanced clinical scenarios reflecting internal medicine practice, from complex differential diagnoses to chronic care management.
- Evaluate AI-generated responses for diagnostic accuracy, clinical judgment, and evidence-based reasoning.
- Identify gaps in AI understanding across internal medicine subspecialties.
- Collaborate with AI researchers and medical peers to improve model quality and reliability.
- Provide structured, expert feedback that informs next-generation AI development for clinical and educational applications.
Candidate Requirements
- MD or equivalent; active practice within the last 3+ years.
- Board certification or equivalent qualification in Internal Medicine.
- Strong grasp of internal medicine's full spectrum — acute care, chronic disease, and preventive medicine.
- Skilled in articulating complex medical reasoning in clear, patient-friendly language.
- Excellent written and spoken English; familiarity with digital medical tools is a plus.
- Education from a top-tier institution (e.g., Harvard, Stanford, UCSF, Oxford, etc.).
Offer Details
- Commitment: 20–40 hours/week (minimum 4 hours/day, with overlap in PST)
- Engagement: Contractor/freelancer (no medical or paid leave)
- Duration: 1 month, with possible extension
- Remote: Fully remote, collaborative environment
About Turing
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.
Remote Hematologist/Oncologist - 75131 in Ashton-under-Lyne employer: Turing
Contact Detail:
Turing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Hematologist/Oncologist - 75131 in Ashton-under-Lyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the medical field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream role.
✨Tip Number 2
Prepare for virtual interviews by practising common questions and scenarios related to internal medicine. Make sure you can articulate your clinical reasoning clearly and confidently, as this will showcase your expertise.
✨Tip Number 3
Stay updated on the latest trends in AI and healthcare. Being knowledgeable about how AI is transforming patient care can give you an edge in discussions with potential employers.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Hematologist/Oncologist - 75131 in Ashton-under-Lyne
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your qualifications and experience in internal medicine. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills in diagnostic reasoning and chronic disease management.
Be Clear and Concise: When writing your application, keep it straightforward and easy to read. Use clear language that reflects your ability to articulate complex medical concepts in a patient-friendly way. Remember, we’re looking for clarity!
Tailor Your Application: Take the time to customise your application for this specific role. Mention how your experience can contribute to improving AI systems in healthcare. We love seeing candidates who understand the importance of the position and can connect their skills to our mission.
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 get you into our system. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Turing
✨Know Your Stuff
Make sure you brush up on your internal medicine knowledge, especially around chronic disease management and diagnostic reasoning. Be ready to discuss complex clinical scenarios and how you would approach them, as this role heavily relies on your expertise.
✨Speak Their Language
Since you'll be evaluating AI-generated responses, practice articulating complex medical concepts in a clear and patient-friendly manner. This will not only help you in the interview but also show that you can bridge the gap between medical jargon and everyday language.
✨Show Your Collaborative Spirit
This role involves working closely with AI researchers and medical peers. Be prepared to share examples of past collaborations and how you’ve contributed to team efforts. Highlight your ability to provide structured feedback and work towards improving model quality.
✨Familiarise Yourself with Digital Tools
If you have experience with digital medical tools, make sure to mention it! If not, do a bit of research on the latest technologies in the field. Showing that you're tech-savvy can set you apart, especially in a role focused on AI development.