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- Tasks: Develop algorithms to automate patient navigation for veterans and enhance data collection.
- Company: Join Imperial College Healthcare, a leader in innovative patient care.
- Benefits: Flexible working, career development, and wellness initiatives.
- Why this job: Make a real difference for veterans while advancing your data science skills.
- Qualifications: Degree in a technical field and experience in data science.
- Other info: Remote work with occasional travel; vibrant team culture.
The predicted salary is between 38682 - 46580 £ per year.
Op RESTORE is an NHS service hosted by Imperial College Healthcare NHS Trust that supports individuals who have served in, or are leaving, the UK Armed Forces and have continuing physical health injuries and related medical problems attributed to their time in the Armed Forces. The post holder will work on a new project looking to digitalise and automate the Op RESTORE patient navigation pathway. Op RESTORE is the national veteran's physical health and well-being service which supports individuals with service-related injuries navigating NHS and military charity pathways. The post holder will be working on automating the synthesis of data from medical records using natural language processing, developing a smart referral questionnaire to improve data capture, and building a machine learning algorithm to automate parts of the health navigation journey. Although this role is funded by the NHS, the postholder will spend much of their time based within Imperial College as part of Professor Aldo Faisal's research group. They will also need to liaise with military charities and other statutory services. Please note this is a remote working post – the expectation is that the postholder will be based at their home with occasional travel into London or other parts of England.
Main duties of the job
- Development of an algorithm that allows automated patient navigation platform for veterans in the OpRESTORE pathway.
- Development of a digitalised platform through which clinical information can be directly collected from the service user, or from GPs in a more efficient and digitalised format.
- Identification of patterns in the OpRESTORE data and development of reports that can lead to improvement in both data and service quality.
- Identification and development of key strengths and weaknesses in OpRESTORE data source locally, regionally and nationally.
- Act as an advocate for veterans' data analysis across the trust, and more widely (including nationally and internationally).
- Develop own skills in computing and programming and support the development of those skills in others.
- Support a wider move towards the use of data and analytics across the trust and more widely.
About Us
At Imperial College Healthcare you can achieve extraordinary things with extraordinary people, working with leading clinicians pushing boundaries in patient care. Become part of a vibrant team living our values – expert, kind, collaborative and aspirational. You'll get an experience like no other and will fast forward your career. Benefits include career development, flexible working and wellbeing, staff recognition scheme. Make use of optional benefits including Cycle to Work, car lease schemes, season ticket loan or membership options for onsite leisure facilities.
We are committed to equal opportunities and improving the working lives of our staff and will consider applications to work flexibly, part time or job share. Please talk to us at interview.
Person Specification
- Educated to degree level in a technical subject, such as Statistics, Mathematics or Computer Science, and/or equivalent experience and specialist knowledge across a number of data science areas at postgraduate level.
- Relevant experience within a similar role.
Skills/Abilities
- Specialist knowledge and development expertise in using SQL, Python or R, including use of relevant packages (e.g. Pandas, Scikit-learn).
- Data management expertise, with a focus on Information Governance, security and robustness.
- Ability to maintain code processes using software such as Python, R with ability to identify innovative uses of data.
- Predictive modelling via supervised or unsupervised machine learning.
Experience
- Experience of use of data to derive conclusions and use those to suggest actions and results. Contributions to published work (audit/research).
- Experience of producing software and maintain, developing and improving software in response to ongoing developments and changes.
- Experience in assisting people with complex data management issues and resolving queries.
- Experience in the day-to-day management and coordination of staff including the allocation and prioritisation of work to staff.
- Experience in handling patient- (or person) level data and managing complex and sensitive issues in organisations.
- Experience of using knowledge and expertise to help others develop data-driven projects and work.
Desirable
- Working knowledge of key veteran data sources and types – SACT, RTDS, HES, Imaging, PROMS.
Employer details
Imperial College Healthcare NHS Trust
St Mary's Hospital, Praed Street, London, W2 1NY
Website: https://www.imperial.nhs.uk/
Op RESTORE Data Scientist employer: Vision Data Recovery
Contact Detail:
Vision Data Recovery Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Op RESTORE Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the NHS and data science communities. Attend events, webinars, or even local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data analysis or machine learning. This is your chance to demonstrate what you can do, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science roles. Think about how your experience aligns with the Op RESTORE project and be ready to discuss your approach to problem-solving.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Imperial College Healthcare.
We think you need these skills to ace Op RESTORE Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Op RESTORE Data Scientist role. Highlight your experience with SQL, Python, or R, and any relevant projects that showcase your data management skills. We want to see how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about supporting veterans and how your skills can contribute to the Op RESTORE project. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in your application. Mention specific tools and techniques you've used, like machine learning algorithms or natural language processing. We’re looking for someone who can hit the ground running!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at Imperial College Healthcare!
How to prepare for a job interview at Vision Data Recovery
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of SQL, Python, and R. Be ready to discuss how you've used these tools in past projects, especially in relation to data management and predictive modelling. They’ll want to see that you can not only code but also understand the underlying principles of data science.
✨Understand the Op RESTORE Mission
Familiarise yourself with the Op RESTORE service and its goals. Knowing how your role as a Data Scientist fits into helping veterans navigate their health journey will show your genuine interest in the position. Be prepared to discuss how your work can directly impact the lives of those who have served.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data synthesis or patient navigation. Think about how you would approach automating processes or improving data capture. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Show Your Collaborative Spirit
Since this role involves liaising with military charities and other services, highlight your teamwork skills. Share examples of how you've successfully collaborated with others in previous roles, especially in complex environments. This will demonstrate that you can work well within a multidisciplinary team.
