Senior Clinical Scientist in Artificial Intelligence

Job description

Job responsibilities

As a Senior Clinical Scientist in Artificial Intelligence you will be responsible for project delivery from inception to post-deployment surveillance.

You will manage stakeholders, including effectively communicating and regularly engaging with a variety of clinical and non-clinical staff. You will work in the best interest of the patients and service users at GSTT.

You will collect and curate data for AI development and testing and critically appraise their quality.

You will effectively use Version Control tools (GitHub) and program in Python to a high standard including following CI/CD and TDD principles. You will help maintain two Linux servers including upgrading, installing, troubleshooting and managing user access. You will work with Docker and virtual environments.

You will work as part of a team and receive and give constructive feedback. You will occasionally need to concentrate on a piece of work for many hours at a time and persist in troubleshooting when problems arise. You will work independently and be self-motivated in managing your own time as productively as possible.

You will work under several pieces of legislation and guidance pertaining to data handling and protection, medical devices maintenance and IT acceptance and deployment in the NHS. You will need to be able to both understand and explain those principles and raise alarm if risks are detected.

You will help support the delivery of training programmes including the NHS Fellowship in Clinical AI and the Scientist Training Programme in Clinical Scientific Computing, Bioinformatics and Clinical Informatics. You will help support the development of junior and of temporary staff.

For further details please see the attached job description.

Person Specification

Qualifications

• Good (1st or Upper 2nd class) Honours degree in a relevant subject
• Relevant MSc or equivalent

• Completion of Scientist Training Programme in a relevant discipline, or equivalent
• Relevant PhD

Professional / Statutory Registration

• State registration as a Clinical Scientist (gained or achievable within an acceptable timeframe)

Experience

• Highly developed specialist knowledge across the full range of working procedures and practices in clinical scientific computing, building on theoretical knowledge and practical experience.
• Specialist training and practical experience with a wide range of clinical scientific computing systems and software

• Previous research experience
• Previous experience of working in a clinical setting (e.g. NHS)

Skills

• Advanced knowledge of problems arising from system errors, equipment failure and clinical factors.
• Advanced specialist knowledge of techniques and clinical applications.
• Extensive experience of software engineering and the software development life-cycle, including issue tracking, testing, documentation, version control and continuous integration.
• Able to prioritise and manage own work.
• Able to exercise own initiative when dealing with issues within own specialist area of competence and within broader areas of clinical scientific computing.
• In depth understanding of relevant legislation, national standards, professional and other guidelines.
• Able to work and communicate effectively within a team.
• Able to troubleshoot errors and independently find solutions to problems.

• In-depth knowledge of at least one high-level language used in data science, such as Python.
• Familiarity with containerisation technologies e.g., Docker, Kubernetes, etc.
• Familiarity with server management.
• Understanding of distributed software applications.
• Up to date with new approaches in software development.
• Demonstrable experience with SQL e.g., PostgreSQL or other modern SQL platforms.
• Experience with HL7 messaging or other healthcare enterprise integration standards.
• Knowledge of and commitment to software development best practice.

Physical Requirements

• Able to concentrate frequently when subject to unpredictable working patterns.
• Able to concentrate for prolonged periods [eg debugging software].
• Able to deal with occasional distressing circumstances [work occasionally involves contact with patients].

Additional Information

• Able to effectively communicate highly complex information to a variety of stakeholders.
• Able to present scientific papers at national and international conferences.
• Able to develop and deliver teaching and training on complex subjects.
• Able to deal with complex and unpredictable situations.
• Able to work without direct supervision and instruction.
• Able to work remotely.

• Experience of organising and delivering teaching and training to a multidisciplinary audience.

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website.

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants.

Employer details

Employer name

Guy's and St Thomas' NHS Foundation Trust

Address

St Thomas' Hospital

Westminster Bridge Road

London

SE1 7EH

https://www.guysandstthomas.nhs.uk/careers/careers.aspx