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- Tasks: Join us to manage and analyse large healthcare databases using your programming skills.
- Company: Be part of King’s College London, a leading institution in military health research.
- Benefits: Enjoy a fixed-term contract with opportunities for professional growth and networking.
- Why this job: Contribute to impactful health research that informs policy and enhances public health.
- Qualifications: No specific qualifications required; just bring your passion for data and analysis.
- Other info: This is a 12-month fixed-term role with potential for exciting projects.
The predicted salary is between 28800 - 48000 £ per year.
This post is an exciting opportunity for a Data Scientist or Informatician to work with electronic healthcare databases and engage in big data techniques. The post will be based within King’s Centre for Military Health Research, the leading UK centre of excellence for military health research, and the project is funded by the Economic and Social Research Council (ESRC) for a Secondary Data Analysis Initiative (Phase 2).
The post holder will be required to manage and process multiple large databases, utilising skills in programming and data linkage. Primary responsibilities will be to:
- Conduct data linkages and develop databases
- Extract data from the healthcare records databases
- Ensure data quality and validity
- Ensure appropriate data management procedures
The post holder will link electronic healthcare records to a large UK military cohort study and extract health data from these complex databases. This post will also offer the opportunity to contribute to health research which should directly inform policy and to work with the Department of Health.
There will be opportunity for the post holder to contribute to quantitative data analyses, write a report on the data linkage process and utility of the electronic healthcare records, and present findings to the steering group and at internal and external seminars and conferences.
Key responsibilities and objectives of the job:
- Merge datasets and manage multiple electronic databases
- Interrogate databases in response to specific questions accurately
- Extract data from electronic healthcare records and supply tailored/reduced datasets to researchers for data analysis
- Maintain clear and up to date written documentation of any forms or reports developed for users
- Automate database processes/procedures where possible
- Support team members using databases
- Write a guide to the data linkage for future users
- Ensure data security and confidentiality
Communication & Networking:
- Communicate with colleagues in order to understand data needs
- Communicate (verbally and in writing) results of data queries with clarity
- Maintain clear and up to date written documentation of any front end user tools or procedures developed
- Reporting on progress at steering group meetings for this project
- Work with colleagues in KCMHR and at the NIHR Biomedical Research Centre
Analysis and Research:
- Undertake database/data queries accurately
- Produce audit reports to ensure appropriate use of databases
- Manage research data and help produce final datasets for analysis
- Contribute to quantitative data analyses in STATA
Specific requirements: Fixed term contract for 12 months.
Data Scientist or Informatician employer: NLP PEOPLE
Contact Detail:
NLP PEOPLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist or Informatician
✨Tip Number 1
Familiarise yourself with the specific electronic healthcare databases mentioned in the job description. Understanding how these databases operate and the types of data they contain will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your programming skills, particularly in languages commonly used for data analysis like Python or R. Being able to demonstrate your proficiency in these areas can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field of military health research or data science. Attend relevant seminars or workshops to make connections that could provide insights into the role and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your experience with data quality and management procedures. Be ready to share examples of how you've ensured data integrity in past projects, as this is a key responsibility of the role.
We think you need these skills to ace Data Scientist or Informatician
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist or Informatician position. Familiarise yourself with the specific tasks such as data linkage, database management, and quantitative data analysis.
Tailor Your CV: Craft your CV to highlight relevant experience in programming, data management, and working with large datasets. Include specific examples of past projects or roles that demonstrate your ability to handle electronic healthcare databases and big data techniques.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the impact of health research on policy. Mention your skills in data extraction and quality assurance, and how they align with the job's objectives. Be sure to address how you can contribute to the team at King’s Centre for Military Health Research.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and professional, as effective communication is key in this role.
How to prepare for a job interview at NLP PEOPLE
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Scientist or Informatician, especially in relation to managing and processing large healthcare databases. Familiarise yourself with the specific tasks mentioned in the job description, such as data linkage and ensuring data quality.
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills and experience with data management tools. Highlight any relevant projects where you've successfully extracted and processed data from large datasets, particularly in healthcare or similar fields.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach data quality issues or automate database processes, and be ready to explain your thought process clearly.
✨Communicate Effectively
Since communication is key in this role, practice articulating complex data concepts in simple terms. Be ready to demonstrate how you would present findings to both technical and non-technical audiences, as well as how you would document processes for future users.
