Job summary
North Yorkshire
Council has secured £5 million to tackle inequalities and improve health outcomes
across North Yorkshire through research. It has been awarded by
the National Institute for Health and Care Research to create a
pioneering Health Determinants Research Collaboration (HDRC) in North
Yorkshire.
This
collaboration will undertake ground-breaking work with the Universities of
Hull and York to develop the research culture of the Council and build
partnerships to conduct and use research on the health and wellbeing issues
that matter to communities, and which reduce inequalities.
HDRC NY is part of a wider £105 million investment from the NIHR for a series
of local government partnerships across the country. A core element of this investment is to make it easier for
council staff and our partners to access, share and use data for research. The
investment will embed a culture of evidence-informed decision-making within local
government and will help to stimulate economic growth, particularly in some of
the UKs most deprived areas.
The HDRCs,
spanning the length and breadth of the UK, follow a major drive for enabling research
to address wider determinants of population health and health
inequalities. Working in partnership with residents, including diverse
and seldom heard communities and the voluntary sector, HDRC North Yorkshire
will focus on identifying local solutions to tackle health inequalities and
improve health outcomes.
Main duties of the job
Developing a
research culture is central to the delivery of HDRC NY, the
Data Scientist role is pivotal to the delivery of our research ambitions. We
are recruiting a Research Data Scientist in a joint appointment, working across
the Councils Data & Insight and core HDRC team.
You will work at the interface of research, policy, and practice with a focus on
inter-council data linkage: identifying and sourcing data, analysing,
visualising and interpreting data on the wider determinants of health and
wellbeing and tackling inequalities.
You will be responsible for developing data infrastructure, architecture, and
systems to support the Council on its journey to becoming more research active.
Connect with local and regional partners to explore opportunities for
collaboration and data sharing across the evolving research ecosystem to
enhance our understanding of wider determinants of health and wellbeing.
You will work collaboratively with frontline Council staff, managers, and leaders, supported
by our growing research community of practice. Alongside other
HDRC NY staff leading work areas of behavioural science, health economics,
public involvement in research and research governance. Lead and develop research data related activities that meet the Councils
research needs and help ensure that outputs from HDRC NY are impactful. Receive an honorary contract with the University of Hull and access
to academic support and supervision through our wider HDRC partnership.
About us
You will have
Knowledge of the wider determinants of health and health inequalities, and the
role local government and other agencies play in addressing them.
Experience of supporting the development and continuous improvement of data
infrastructure and systems.
Experience of managing the development and
review of systems, and working in a Trusted Research Environment, to analyse a
range of research data and other intelligence, identifying trends, emergent
issues, risk factors, and areas for further research.
Skills in collecting, cleaning, organising
and analysing information about North Yorkshire population health, linking data
sources across the public sector, and insight from our communities, with the
purpose of solving real-world problems and answering priority research
questions.
Proficiency in data processing, data
visualisation and statistical analytical research methods using a variety of technologies and approaches.
Knowledge of data quality, approaches that enable researchers to gain
access to data in a safe way, and techniques to assess data suitability and
enhance quality.
Strong data interpretation skills, for
generating accurate and relevant conclusions and actionable
recommendations.
Excellent communication skills and the
ability to lead, motivate and influence others.
Experience of partnership working,
collaborating with colleagues across departments, organisations, and sectors to
maximise the research potential of linked data.
Job description
Job responsibilities
Job Context
The role
is part of our newly established National Institute for Health and Care
Research (NIHR) Health Determinants Research Collaboration (HDRC) North
Yorkshire.
The HDRC
North Yorkshire (HDRC NY) is a collaboration with the Universities of Hull and
York that will develop the research culture of the Council and build
Council-University partnerships to conduct and use research on the health and
wellbeing issues that matter to communities, and which reduce inequalities (see
https://fundingawards.nihr.ac.uk/award/NIHR158758)
The HDRC
NY has four work packages, each co-Lead by Council staff and University
academics: development of research infrastructure & governance, development
of research capacity & capability, dissemination & impact, and learning
& evaluation. In addition, the HDRC NY has three cross cutting themes:
Public Involvement & Community Engagement; Health Economics; Behavioural
Science
The
Research Data Scientist will be key member of the HDRC team. The post holder will work to unlock the
potential of data gathered through research to support directorates across the
Council make evidence-based policy decisions to promote good health outcomes
across North Yorkshire. The role will support research that makes effective and
best use of resources and supports income generation.
The
postholder will lead on connecting NYC to the University of Hull Trusted
Research Environment, support the development of robust data governance process
and mechanisms, and respond to requests for the analysis of key datasets.
The Research Data Scientist will have
access to specialist research training and academic resources (e.g., academic
journals, methods training) provided by the University of Hull, to support them
in their role.
Job Purpose
The
Research Data Scientist will be key to unlocking the potential of data to
support directorates across the Council make evidence-based policy decisions to
promote good health outcomes across North Yorkshire.
Operational Management
- Provide support and guidance to colleagues
around data governance and data protection within research in conjunction with
research governance officer.
- Provide statistical and analytical support to
the HDRC team and across NYC, as required.
- Apply
statistical methods to extract insight and communicate findings through clear
data visualisations and reports for both technical and non-technical audiences.
- Provide advice on a range of epidemiological
and statistical issues relating to the design, conduct and analysis within
research projects.
- Support the development and continuous
improvement of data infrastructure, architecture, and systems to enable data
sharing and analysis in a secure and safe manner e.g., Trusted Research Environment.
- Liaise with relevant teams across the Council
to understand research opportunities relating to data.
- Develop data sets relevant to the wider
determinants of health and health outcomes/research and exploring opportunities
to combine data sets to generate new knowledge.
- Develop relationships at all levels of the
organisation to facilitate the effective usage of data insight and analysis.
- Work closely with other data teams across the
Council.
Resource
Management
- Undertake additional duties, in agreement with
the line manager and consistent with the grade of the post.
- Be responsible for the effective prioritising
and organising of own workload.
- Be aware of data that the Council holds in
relation to the wider determinants of health and health inequalities to support
the exploration of research opportunities.
Partnerships
- Build and foster relationships with external
data teams (e.g., NHS, Civil Service, VCSEs and other local authorities and
HDRCs) to maximise opportunities for research collaboration and data sharing.
- Develop close working relationships with
academic partners to explore opportunities to advance the data analysis
capabilities of the Council.
- Work effectively with a wide range of internal
teams and service areas.
- To undertake Continuing Professional
Development e.g., attend relevant professional meetings and conferences, when
possible.
Communications
- Advise on/resolve complex statistical/analytical/epidemiological
queries.
- Support the dissemination and presentation of
complex statistics and information to range of stakeholders who are
non-statistical professionals in easily accessible formats via a range of
different media, electronically or written reports.
Systems
and Information
- Manage the development and review of systems
for the analysis of a range of research performance data and other
intelligence, identifying trends, emergent issues, strategic and operational
risks, and areas that require improvement.
- Support the development and continuous
improvement of data infrastructure, architecture, and systems to enable data
sharing and analysis in a secure and safe manner e.g., Trusted Research Environment.
- Co-ordinate and monitor HDRC data and outputs
for performance reporting (through an appropriate tool e.g., Power BI)
- Help design and deliver research data analysis
training and other data related training and learning.
- Interpret and balance evidence from a range of
sources to inform decision-making.
- Comply with the Councils policies in relation
to Data Protection, Information Security and Confidentiality.
Job description
Job responsibilities
Job Context
The role
is part of our newly established National Institute for Health and Care
Research (NIHR) Health Determinants Research Collaboration (HDRC) North
Yorkshire.
The HDRC
North Yorkshire (HDRC NY) is a collaboration with the Universities of Hull and
York that will develop the research culture of the Council and build
Council-University partnerships to conduct and use research on the health and
wellbeing issues that matter to communities, and which reduce inequalities (see
https://fundingawards.nihr.ac.uk/award/NIHR158758)
The HDRC
NY has four work packages, each co-Lead by Council staff and University
academics: development of research infrastructure & governance, development
of research capacity & capability, dissemination & impact, and learning
& evaluation. In addition, the HDRC NY has three cross cutting themes:
Public Involvement & Community Engagement; Health Economics; Behavioural
Science
The
Research Data Scientist will be key member of the HDRC team. The post holder will work to unlock the
potential of data gathered through research to support directorates across the
Council make evidence-based policy decisions to promote good health outcomes
across North Yorkshire. The role will support research that makes effective and
best use of resources and supports income generation.
The
postholder will lead on connecting NYC to the University of Hull Trusted
Research Environment, support the development of robust data governance process
and mechanisms, and respond to requests for the analysis of key datasets.
The Research Data Scientist will have
access to specialist research training and academic resources (e.g., academic
journals, methods training) provided by the University of Hull, to support them
in their role.
Job Purpose
The
Research Data Scientist will be key to unlocking the potential of data to
support directorates across the Council make evidence-based policy decisions to
promote good health outcomes across North Yorkshire.
Operational Management
- Provide support and guidance to colleagues
around data governance and data protection within research in conjunction with
research governance officer.
- Provide statistical and analytical support to
the HDRC team and across NYC, as required.
- Apply
statistical methods to extract insight and communicate findings through clear
data visualisations and reports for both technical and non-technical audiences.
- Provide advice on a range of epidemiological
and statistical issues relating to the design, conduct and analysis within
research projects.
- Support the development and continuous
improvement of data infrastructure, architecture, and systems to enable data
sharing and analysis in a secure and safe manner e.g., Trusted Research Environment.
- Liaise with relevant teams across the Council
to understand research opportunities relating to data.
- Develop data sets relevant to the wider
determinants of health and health outcomes/research and exploring opportunities
to combine data sets to generate new knowledge.
- Develop relationships at all levels of the
organisation to facilitate the effective usage of data insight and analysis.
- Work closely with other data teams across the
Council.
Resource
Management
- Undertake additional duties, in agreement with
the line manager and consistent with the grade of the post.
- Be responsible for the effective prioritising
and organising of own workload.
- Be aware of data that the Council holds in
relation to the wider determinants of health and health inequalities to support
the exploration of research opportunities.
Partnerships
- Build and foster relationships with external
data teams (e.g., NHS, Civil Service, VCSEs and other local authorities and
HDRCs) to maximise opportunities for research collaboration and data sharing.
- Develop close working relationships with
academic partners to explore opportunities to advance the data analysis
capabilities of the Council.
- Work effectively with a wide range of internal
teams and service areas.
- To undertake Continuing Professional
Development e.g., attend relevant professional meetings and conferences, when
possible.
Communications
- Advise on/resolve complex statistical/analytical/epidemiological
queries.
- Support the dissemination and presentation of
complex statistics and information to range of stakeholders who are
non-statistical professionals in easily accessible formats via a range of
different media, electronically or written reports.
Systems
and Information
- Manage the development and review of systems
for the analysis of a range of research performance data and other
intelligence, identifying trends, emergent issues, strategic and operational
risks, and areas that require improvement.
- Support the development and continuous
improvement of data infrastructure, architecture, and systems to enable data
sharing and analysis in a secure and safe manner e.g., Trusted Research Environment.
- Co-ordinate and monitor HDRC data and outputs
for performance reporting (through an appropriate tool e.g., Power BI)
- Help design and deliver research data analysis
training and other data related training and learning.
- Interpret and balance evidence from a range of
sources to inform decision-making.
- Comply with the Councils policies in relation
to Data Protection, Information Security and Confidentiality.
Person Specification
Experience
Essential
- Knowledge of public health (& wider determinants of health) data sources
- Knowledge of the wider determinants of health and health inequalities, and the role local government and other agencies play in addressing them.
- Knowledge of national and local policies and frameworks relating to wider determinants of health and health inequalities
- Knowledge of data quality issues and approaches to address them.
- Knowledge and experience of research and/or governance and relevant legal and ethical requirements
- Experience of accessing and manipulating data from a wide range of sources using a variety of technologies and approaches
- Experience of interagency and partnership working
- Experience of supporting the development and continuous improvement of data infrastructure and systems
Desirable
- Knowledge and experience of specialist statistical software (e.g., STATA/SPSS/SAS)
- Knowledge and experience of managing and delivering complex projects.
Qualifications
Essential
- Educated to degree level in relevant subject, or equivalent experience.
- Evidence of CPD relevant to role
Desirable
- Relevant project or product management qualification (Agile PRINCE2, Agile, GDS Product Manager or similar) or equivalent experience of using project management methodologies.
Occupational Skills
Essential
- Ability to manage the development and review of systems for the analysis of a range of research performance data and other intelligence, identifying trends, emergent issues, strategic and operational risks, and areas that require improvement.
- Ability to support research that makes effective and best use of resources and supports income generation.
- Proficiency in data processing, data visualisation and statistical/analytical research methods
- Strong data interpretation skills, for generating accurate and relevant conclusions and appropriate actionable suggestions.
- Ability to use complex data ethically to support evidence-based decision making.
- Excellent organisational and administrative skills
- Ability to prioritise own workload and articulate decision process/rational.
- Negotiating and influencing skills
- Excellent written and verbal communication skills with experience in disseminating complex information via written reports and presentations to a wide range of audiences in terms of both size and composition.
- Ability to work independently and as a member of a team.
- Ability to develop effective working relationships, both internally and externally
- Ability to problem solve and find pragmatic solutions.
Person Specification
Experience
Essential
- Knowledge of public health (& wider determinants of health) data sources
- Knowledge of the wider determinants of health and health inequalities, and the role local government and other agencies play in addressing them.
- Knowledge of national and local policies and frameworks relating to wider determinants of health and health inequalities
- Knowledge of data quality issues and approaches to address them.
- Knowledge and experience of research and/or governance and relevant legal and ethical requirements
- Experience of accessing and manipulating data from a wide range of sources using a variety of technologies and approaches
- Experience of interagency and partnership working
- Experience of supporting the development and continuous improvement of data infrastructure and systems
Desirable
- Knowledge and experience of specialist statistical software (e.g., STATA/SPSS/SAS)
- Knowledge and experience of managing and delivering complex projects.
Qualifications
Essential
- Educated to degree level in relevant subject, or equivalent experience.
- Evidence of CPD relevant to role
Desirable
- Relevant project or product management qualification (Agile PRINCE2, Agile, GDS Product Manager or similar) or equivalent experience of using project management methodologies.
Occupational Skills
Essential
- Ability to manage the development and review of systems for the analysis of a range of research performance data and other intelligence, identifying trends, emergent issues, strategic and operational risks, and areas that require improvement.
- Ability to support research that makes effective and best use of resources and supports income generation.
- Proficiency in data processing, data visualisation and statistical/analytical research methods
- Strong data interpretation skills, for generating accurate and relevant conclusions and appropriate actionable suggestions.
- Ability to use complex data ethically to support evidence-based decision making.
- Excellent organisational and administrative skills
- Ability to prioritise own workload and articulate decision process/rational.
- Negotiating and influencing skills
- Excellent written and verbal communication skills with experience in disseminating complex information via written reports and presentations to a wide range of audiences in terms of both size and composition.
- Ability to work independently and as a member of a team.
- Ability to develop effective working relationships, both internally and externally
- Ability to problem solve and find pragmatic solutions.
