NEC Software Solutions

Healthcare

DataTeamLeader

Hemel Hempstead, United Kingdom FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Team Leader at NEC Software Solutions. Skills: Team leadership, Data analysis, Statistical methodology, Machine learning application, Data cleansing, Data quality assurance. Oversee a team of data scientists and data analysts. Manage the workload of the team”

What You'll Achieve.

Meet delivery timelines; Support the work of the NHS and private UK healthcare providers

Industry & Context.

Healthcare
Problems you'll solve

Proven problem-solving skills

Eligibility Requirements

Occasional trips to the head office in Hemel Hempstead or other NEC/NHSE locations in the UK to facilitate in-person meetings, Pre-existing right to work and travel within the UK, UK Security Clearance

What They're Looking For.

Must Have

Postgraduate degree in computer science, statistics, biology or a related quantitative discipline, Expert R (R Studio) programming skills for manipulation/cleaning, report generation, visualisation of data, statistical analysis and modelling, Experience leading a team of data scientists or analysts, Proficiency with SQL (Azure) for data manipulation, extract creation and aggregation of data from disparate sources, Proven experience cleansing, processing and managing large data sets, Proven experience responding creatively to analytical briefs, Experience with data warehouses and open database connectivity, Statistical expertise (including survival analysis and predictive modelling), The ability to deliver under pressure and without regular supervision, Proven problem-solving skills and ability to work to deadlines, Self-motivation and a flexible approach to work, The ability to thrive in a collaborative team environment, Pre-existing right to work and travel within the UK

Nice to Have

Experience working with health data including clinical data registries, Experience working with ‘unclean’ data and free text, An interest in the application of machine learning, NLP and AI to solve problems related to health data and patient safety, Experience using Snowflake/DBT, Prompt Engineering for Github Copilot or equivalent

What You'll Do.

Oversee a team of data scientists and data analysts

Manage the workload of the team

Identify opportunities for team members to upskill

Coordinate/standardise the production of reports

Contribute to the statistical oversight and data efficacy boards

Explore new opportunities for the application of machine learning and advanced statistical methodologies to health data

Support the development of the DSA team

Maintain existing applications

Regular and bespoke report generation

Documenting code bases

Identifying data quality issues in large databases

Support the analytical requirements of clinical steering committees

Prioritise and schedule the competing workloads of the team to meet delivery timelines

Lead regular update and 1-to-1 meetings with team members

Explore real-world-evidence data sets for registry-specific analytical opportunities

Coordinate and assist with the generation of regularly scheduled and bespoke reports

including the plotting of charts using standard libraries

Take charge of data cleansing

quality assurance and supporting integration

Contribute ideas to improve productivity and delivery

Build an extensive clinical knowledge base through meeting regularly with clinical steering committees

Work closely with clinicians to understand and support their reporting and analytical needs

How You'll Work.

Team & Collaboration

Liaise with industry and academic partners to align and improve our statistical methodology and reporting strategy; Liaise with members of the data quality, development, business analyst and business consultant teams to deliver collaborative outputs; Work closely with clinicians to understand and support their reporting and analytical needs; Ability to thrive in a collaborative team environment

Communication Scope

Liaise with industry and academic partners; Liaise with members of the data quality, development, business analyst and business consultant teams; Work closely with clinicians

Process & Methodology

Prioritise and schedule the competing workloads of the team to meet delivery timelines, Ability to work to deadlines

Full Job Description

Come join us and make a difference in the world! Discover more at [www.necsws.com](http://www.necsws.com/) Please note this role has the flexibility to be hybrid working or fully remote based on your location. Working within the Healthcare (registries) division of NEC Software Solutions you will oversee a team of data scientists and data analysts (DSA) who’s duties feature a mix of maintaining existing applications, regular and bespoke report generation, dashboard creation, documenting code bases, cleansing datasets, identifying data quality issues in large databases and support the analytical requirements of clinical steering committees. Your primary responsibilities will be to manage the workload of the team, identify opportunities for team members to upskill, coordinate/standardise the production of reports, contribute to the statistical oversight and data efficacy boards, explore new opportunities for the application of machine learning and advanced statistical methodologies to health data and support the development of the DSA team. The focus of your work will be on data that is held in clinical registries relating to various performance outcomes for patients who have undergone surgical or medical interventions. This role involves working closely with the data science and analytics team, as well as clinicians, to develop new registries and health data reporting procedures to support the work of the NHS and private UK healthcare providers. This role has the flexibility to be hybrid working or fully remote based on your location and may require occasional trips to the head office in Hemel Hempstead or other NEC/NHSE locations in the UK to facilitate in-person meetings. Key responsibilities include: * Oversee a team of data scientists and data analysts * Prioritise and schedule the competing workloads of the team to meet delivery timelines * Lead regular update and 1-to-1 meetings with team members * Liaise with industry and academic partners to align and improve

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