Clinical Specialist

Overview

At Microsoft AI, our Health team is on a mission to build and serve medical superintelligence at global scale. We're responsible for ensuring that Microsoft AI's models and services are useful, trusted and safe across diverse health journeys. For this role, the Health team at Microsoft AI is looking for a hands-on, product-focused clinician who will sit inside an engineering-heavy cross-functional team, and who is excited about contributing to the next generation of systems that will transform the field.

Across all our hires, it's important for colleagues to share our enthusiasm about the role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. You will need to be highly self-sufficient, and be able to span from high level strategy through to ground-level execution on a wide range of tasks — on this team, no task is beneath anyone. This also means you will play a major role in cultivating and promoting a positive team culture.

Microsoft's wider mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

As an employee in the Microsoft AI's Health team, you will be someone who:

Contributes to prompting, prototyping, building agents, scripting and data analysis

Defines evaluation strategies, and creates the tests, datasets and LLM scorers needed to know whether a system is safe and working

Collaborates with and bridges the gap between clinicians, researchers, product, designers, engineering, and partnership teams.

Contributes to safety, ethics, and privacy policies, and identifies gaps in our tools, technologies and methods to ensure overall rigour.

Contributes to the clinical direction of our team's efforts, bringing a clinician's judgement to what we build and in what order.

Qualifications

Required/minimum qualifications:

Medical Degree with more than 2 years of associated postgraduate clinical experience

Experience working in the health AI space (in academic or industry settings), including developing, evaluating, and deploying health AI products

Hands-on AI engineering experience

A track record of owning things end-to-end — founding or leading a project, company, charity, PhD, or wearing multiple hats at an early stage startup

Comfort with ambiguity and uncertainty, and the ability to work at high speed with autonomy in a rapidly changing environment

Pragmatism about when something is good enough to ship, and when it isn't

Strong collaboration, communication and presentation skills

Ability to produce high quality written and presentation materials with excellent attention to detail

Additional or preferred qualifications:

Higher degree (e.g. Masters or PhD) in a related field

Applied Sciences IC5 - The typical base pay range for this role across United Kingdom is £ 93,500.00 - £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

Applied Sciences IC6 - The typical base pay range for this role across United Kingdom is £ 119,100.00 - £ 178,700.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.