Data Scientist or Informatician

NLP PEOPLE; London; On-site; GBP 35,000 - 55,000; Full time

Job summary

An exciting opportunity to join King's Centre for Military Health Research as a Data Scientist or Informatician, focusing on managing electronic healthcare datasets and conducting data linkages. This role offers the prospect of contributing to impactful health research aimed at informing policy and improving healthcare outcomes.

Qualifications

• Experience in managing and processing databases.
• Skills in programming and data linkage.
• Ability to conduct quantitative data analyses.

Responsibilities

• Merge datasets and manage multiple electronic databases.
• Extract data from electronic healthcare records.
• Produce audit reports ensuring appropriate use of databases.

Skills

Programming

Data Management

Data Linkage

Data Quality Assurance

Statistical Analysis

Tools

STATA

Job description

This post is an exciting opportunity for a Data Scientist or Informatician to work with electronic healthcare databases, and to 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: i) conduct data linkages and develop databases, ii) extract data from the healthcare records databases, iii) ensure data quality and validity and iv) ensure appropriated 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, to write a report on the data linkage process and utility of the electronic healthcare records, and to present findings to the steering group and at internal and external seminars and conferences.

The Data Scientist or Informatician will use their skills in programming and data management to manage, process and extract data from multiple large electronic databases, and to link electronic healthcare records to a large UK military cohort study.

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

Company:

King’s College London

Qualifications:

N/A

Specific requirements:

Fixed term contract for 12 months.

How to apply:

Please mention NLP People as a source when applying

https://www.hirewire.co.uk/HE/1061247/MS_JobDetails.aspx?JobID=62330

Tagged as: Academia, Big Data, Data Analysis, Data Mining, United Kingdom