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For Companies At a Glance
- Tasks: Join our DRE team to analyze data and develop analytical tools for clinical insights.
- Company: Be part of Great Ormond Street Hospital, a leading children's healthcare provider.
- Benefits: Enjoy opportunities for skill development, collaboration, and contributing to impactful research.
- Why this job: Dive into data-driven projects that enhance hospital operations and patient care.
- Qualifications: Degree in computer science or related field; experience with R, Python, SQL required.
- Other info: Work in a dynamic environment with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
As a DRE Data Scientist, the post holder will assist the DRE team in the analyses and development of analytical tools utilising GOSH electronic patient record (EPR) data and data from other sources. As a core member of the DRE, the post holder will work with partner project teams (clinical and non-clinical) to explore clinical and operational processes in the hospital using data-driven methods to gather and disseminate insights through meetings and reports. As part of the role, the data scientist is also involved in providing data, analytics, and statistical support to those in the Trust conducting research projects as part of the DRE Open Support sessions.
Main duties of the job
The post-holder will work on the development and use of common data models such as the OHDSI OMOP to support the Senior Data Scientist and Data Engineering colleagues working on clinical research and operational analytics across multiple sites both in the UK and abroad, leveraging our research and federated analytics platforms. They will also work to continuously improve current DRE processes surrounding reproducible analytical pipelines (RAP), analytical reporting and workflows, and work to improve their skills and knowledge to deepen their involvement in the hospital and research community.
Job responsibilities
- Develop, run and maintain analytics pipelines and data solutions to support clinical and operational research in the Trust
- Engage with the partner hospitals and stakeholders including partner project teams and operational experts to understand analytical aspects of business problems and identify how data can be used to help solve these problems
- Liaise with collaborators to optimise the use of GOSHs research infrastructure for data analytics/ science tasks
- Provide help and guidance to researchers in the hospital as part of DRE Open Support sessions, mainly advising on data wrangling, analysis and statistical interpretation
- Provide assistance in the ongoing development and documentation utilising GOSHs OHDSI OMOP data, and ongoing sustainability goals of Common Data Model (CDM) use in the NHS
- Manipulate data and/or run and collate reports or other documentation as required for DRE management and the groups that oversee the DRE
- Develop solutions that are consistent with and complement development work across the data professionals in DRIVE
Person Specification
Academic/Professional qualification/Training
Essential
- Educated to degree level in a computer science, mathematical, science-based or relevant subject
- Maths and English GCSE grade C or above or equivalent qualification
- IT qualification in MS Office or equivalent experience
Experience/Knowledge
Essential
- Experience of programming tools such as R, Python, SQL for analytics and dashboarding
- Sound knowledge of operational workflows and processes within a hospital environment
- Experience working under a tight information governance regime including strict separation of resources and the management of Personally Identifiable Information/other sensitive data
- Experience of working with teams to operationalise data driven solutions
- Knowledge of medical terminology
- Experience working with healthcare-specific data models in data transformation and analyses (e.g. transformation into OMOP)
Skills/Abilities
Essential
- Excellent organisational and planning skills, including prioritising to achieve deadlines under pressure and with frequent interruptions
- Excellent written, verbal and presentation skills with the ability to communicate complex information to staff at all levels
Employer details
Employer name
Great Ormond Street Hospital for Children NHS Foundation Trust
Address
DRIVE, Great Ormond Street Hospital NHS Foundation Trust
Level 1, 40 Bernard Street, WC1N 1LE, London#J-18808-Ljbffr
Data Scientist employer: Great Ormond Street Hospital NHS Foundation Trust
Contact Detail:
Great Ormond Street Hospital NHS Foundation Trust Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the GOSH electronic patient record (EPR) data and the OHDSI OMOP common data model. Understanding these systems will give you a significant advantage in discussions with the DRE team and demonstrate your commitment to the role.
✨Tip Number 2
Engage with current data scientists or analysts in the healthcare sector, especially those familiar with operational workflows in hospitals. Networking can provide insights into the specific challenges they face and how you can contribute solutions.
✨Tip Number 3
Brush up on your programming skills in R, Python, and SQL. Being able to showcase your proficiency in these tools during interviews will highlight your readiness to develop and maintain analytics pipelines.
✨Tip Number 4
Prepare to discuss your experience with data governance and handling sensitive information. This is crucial in a hospital environment, and demonstrating your understanding of these practices will set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities and required skills, especially those related to programming tools like R, Python, and SQL.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your experience with healthcare-specific data models and any previous work in a hospital environment.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for data science in healthcare. Mention specific projects or experiences that demonstrate your ability to engage with clinical and operational teams.
Highlight Communication Skills: Since the role requires excellent written and verbal communication skills, provide examples in your application of how you've effectively communicated complex information to diverse audiences.
How to prepare for a job interview at Great Ormond Street Hospital NHS Foundation Trust
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming tools like R, Python, and SQL. Highlight specific projects where you've used these tools to solve real-world problems, especially in a healthcare context.
✨Understand the Healthcare Environment
Familiarize yourself with operational workflows in a hospital setting. Be ready to discuss how data can be leveraged to improve clinical and operational processes, demonstrating your understanding of the unique challenges faced in healthcare.
✨Communicate Complex Information Clearly
Practice explaining complex analytical concepts in simple terms. During the interview, aim to demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-life scenarios. Think about past experiences where you had to manipulate data or provide insights under tight deadlines, and be ready to share those examples.
