Scientific Database Analyst

Role overview

Analysis and surveillance duties

• Extract, collate, validate, and analyse surveillance datasets.
• Develop and use project information and intelligence systems, including responsibility for their development and productivity.
• Undertake specialist analyses of quantitative and/or qualitative datasets and evaluate research evidence from multiple sources.
• Develop and implement standardised data collection and analysis protocols and assess data quality and completeness.
• Ensure data are collected and processed in line with relevant policies and standard operating procedures.
• Identify data-quality issues and facilitate their resolution.

Reporting and collaboration

• Contribute to surveillance and policy reports and peer-reviewed scientific publications.
• Provide and advise on complex epidemiological and statistical information to health-sector stakeholders.
• Communicate specialist findings and present them at local, national, and international meetings and conferences.
• Conduct literature reviews, evaluative surveys, audits, and other research as required.
• Prepare presentation materials and assist with courses and AMR and HCAI lectures.

Management and development

• Report through the Principal or Senior Scientist coordinating projects to the AMR and HCAI Division Section Leads.
• Manage staff working on division work areas if required.
• Discuss and address professional performance and development needs with the line manager.
• Attend internal and external training and complete mandatory training.

Location

• The listed work location is the Scientific Campus, Colindale, London.

Salary and contract

• Salary is £37,749 to £45,353 per annum, pro rata.
• The role is permanent.
• The listed working patterns include full-time, part-time, flexible working, and job share.

Requirements

• Extract, collate, and validate surveillance datasets and undertake epidemiological analyses.
• Develop and implement standardised data collection and analysis protocols.
• Assess data quality and completeness, identify data-quality issues, and facilitate their resolution.
• Collect and process data in accordance with relevant policies and standard operating procedures.
• Undertake specialist analysis of quantitative and/or qualitative datasets and research evidence.
• Communicate complex epidemiological and statistical information to internal and external stakeholders.