Organisation/Company:
KINGS COLLEGE LONDON Research Field:
Psychological sciences Researcher Profile:
Recognised Researcher (R2) Established Researcher (R3) Country:
United Kingdom Application Deadline:
10 Feb 2025 - 00:00 (UTC) Type of Contract:
Other Job Status:
Full-time Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description
About us: In April 2024, IoPPN, King’s College London led the establishment of a national disseminated population mental health consortium, as part of a UKRI funded population health improvement initiative (Population Health Improvement UK- PHIUK). This post will be situated in the Department of Psychological Medicine, at IoPPN (Denmark Hill campus), London (KCL) and will work across this partnership. About the role: We are seeking an enthusiastic postdoctoral researcher with a strong background in quantitative methods and mental health research to join Platform 3 (Narrowing Inequalities) within the Population Mental Health Consortium. This role focuses on conducting robust quantitative analysis to assess intersectional inequalities in population mental health, ensuring that interventions and policies are equitable and actively reduce existing disparities. The successful candidate will apply advanced statistical methods to large-scale, linked datasets to investigate health inequalities utilizing intersectional approaches. They will also use mapping tools such as ArcGIS and QGIS to visualize spatial data and patterns in health inequalities, and develop dynamic, interactive reports using Quarto or Markdown to communicate findings effectively to diverse audiences. The researcher will prepare high-quality research outputs, including peer-reviewed publications, policy briefs, and presentations for academic, policy, and public audiences. They will engage with consortium partners—including NHS England/Improvement, Traumascapes, the Association of Directors of Public Health, and the NHS Race and Health Observatory—to co-produce research that integrates the lived experiences of underserved communities. In addition, the role will involve conducting ongoing Equality Impact Assessments (EIA) to evaluate interventions, identify missing voices, assess power dynamics, and consider the potential consequences of policies and initiatives. The researcher will also use the Health Inequalities Assessment Toolkit (HIAT) to systematically integrate an intersectional equity lens into research across the consortium. This includes mapping inequalities, ensuring accountability in addressing identified inequities, and incorporating lived experience and policy/practice expertise into all stages of research. This is a full-time post (35 Hours per week), and you will be offered a fixed-term contract until 31st May 2027. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: PhD in a Relevant Discipline: Statistics, Epidemiology, Public Health, or a related field. Proficiency in statistical analyses and use of relevant statistical packages (Stata, R, MPLUS etc.) Evidence of previous research in mental health, particularly related to health inequalities. Experience working with large-scale, linked datasets (e.g., health records, administrative data). Experience with geographical information systems and spatial data visualization. Excellent organisational and time-management skills. Strong ability to present complex information clearly to academic, policy, and public audiences. Demonstrated experience working effectively within interdisciplinary teams and with non-academic partners, including public health entities, people with lived experience and volunteer and community sector organisations. Track record of publications in peer-reviewed scientific journals. Experience working across policy, public health, voluntary sectors, or with people with lived experience. Familiarity with intersectional analysis methods like multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) and participatory research methods, such as Photovoice. Experience supervising researchers or students and delivering seminars or training to diverse audiences. Downloading a copy of our Job Description: Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held week commencing 3rd March 2025. We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.
#J-18808-Ljbffr
KINGS COLLEGE LONDON Research Field:
Psychological sciences Researcher Profile:
Recognised Researcher (R2) Established Researcher (R3) Country:
United Kingdom Application Deadline:
10 Feb 2025 - 00:00 (UTC) Type of Contract:
Other Job Status:
Full-time Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?
No Offer Description
About us: In April 2024, IoPPN, King’s College London led the establishment of a national disseminated population mental health consortium, as part of a UKRI funded population health improvement initiative (Population Health Improvement UK- PHIUK). This post will be situated in the Department of Psychological Medicine, at IoPPN (Denmark Hill campus), London (KCL) and will work across this partnership. About the role: We are seeking an enthusiastic postdoctoral researcher with a strong background in quantitative methods and mental health research to join Platform 3 (Narrowing Inequalities) within the Population Mental Health Consortium. This role focuses on conducting robust quantitative analysis to assess intersectional inequalities in population mental health, ensuring that interventions and policies are equitable and actively reduce existing disparities. The successful candidate will apply advanced statistical methods to large-scale, linked datasets to investigate health inequalities utilizing intersectional approaches. They will also use mapping tools such as ArcGIS and QGIS to visualize spatial data and patterns in health inequalities, and develop dynamic, interactive reports using Quarto or Markdown to communicate findings effectively to diverse audiences. The researcher will prepare high-quality research outputs, including peer-reviewed publications, policy briefs, and presentations for academic, policy, and public audiences. They will engage with consortium partners—including NHS England/Improvement, Traumascapes, the Association of Directors of Public Health, and the NHS Race and Health Observatory—to co-produce research that integrates the lived experiences of underserved communities. In addition, the role will involve conducting ongoing Equality Impact Assessments (EIA) to evaluate interventions, identify missing voices, assess power dynamics, and consider the potential consequences of policies and initiatives. The researcher will also use the Health Inequalities Assessment Toolkit (HIAT) to systematically integrate an intersectional equity lens into research across the consortium. This includes mapping inequalities, ensuring accountability in addressing identified inequities, and incorporating lived experience and policy/practice expertise into all stages of research. This is a full-time post (35 Hours per week), and you will be offered a fixed-term contract until 31st May 2027. About you: To be successful in this role, we are looking for candidates to have the following skills and experience: PhD in a Relevant Discipline: Statistics, Epidemiology, Public Health, or a related field. Proficiency in statistical analyses and use of relevant statistical packages (Stata, R, MPLUS etc.) Evidence of previous research in mental health, particularly related to health inequalities. Experience working with large-scale, linked datasets (e.g., health records, administrative data). Experience with geographical information systems and spatial data visualization. Excellent organisational and time-management skills. Strong ability to present complex information clearly to academic, policy, and public audiences. Demonstrated experience working effectively within interdisciplinary teams and with non-academic partners, including public health entities, people with lived experience and volunteer and community sector organisations. Track record of publications in peer-reviewed scientific journals. Experience working across policy, public health, voluntary sectors, or with people with lived experience. Familiarity with intersectional analysis methods like multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) and participatory research methods, such as Photovoice. Experience supervising researchers or students and delivering seminars or training to diverse audiences. Downloading a copy of our Job Description: Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information: We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Interviews are due to be held week commencing 3rd March 2025. We are not able to offer sponsorship for candidates who do not currently possess the right to work in the UK.
#J-18808-Ljbffr
