Research Data Analyst - Intergenerational Socio-Economic Status and Dementia Risk - University of California, San Francisco

CLOSING DATE: open until filled

OPPORTUNITY TYPE: Job

JOB #: 18507

POSTED: March 10, 2022

Description:

The Research Data Analyst will support a newly funded National Institute on Aging-funded project to understand lifecourse socio-economic contributors to late-life dementia risk across a range of global settings. Dementia is a leading cause of death worldwide and one of the primary contributors to late-life disability globally. Socio-economic factors such as education have long been recognized as core contributors to dementia risk at a population level. However, researchers have only given limited consideration to how the socio-economic status of one’s adult children may influence the dementia risk and related outcomes of their older parents.

The Research Data Analyst will help develop a platform of global population-based aging studies from which to conduct rigorous quantitative research on whether and how adult child socio-economic status contributes to older parents’ dementia risk, working alongside leaders in the field of dementia epidemiology and econometric and epidemiologic methods. The Research Data Analyst’s primary role will be to work alongside the Principal Investigator and her study team to clean, organize, and analyze large datasets from longitudinal surveys of older adults across global settings. Specifically, the position will involve cleaning, merging, and organizing multiple large longitudinal data sources, running analyses using a range of intermediate to advanced analytic methods (e.g. mixed linear models, instrumental variables analysis, weighting techniques), conducting sensitivity analyses, and preparing results for dissemination (e.g. via peer-reviewed publications, posters). Additional tasks may include supporting literature reviews on relevant substantive or methodological topics, supporting code review for projects across the broader research team, developing and maintaining data and/or project organization systems across the research team, and assisting with the development of research proposals.

Note: this is a contract role with very high possibility of extension. We offer full benefits & hybrid work model. Fully remote work would be considered for the right candidate. 

Required Qualifications

  • Bachelor’s degree in related area and 3 or more years of related work experience; and / or equivalent experience / training.
  • Demonstrated skills in statistical analysis using STATA and/or R.
  • Thorough knowledge of research function.
  • Thorough skills associated with statistical analysis and systems programming.
  • Thorough skills in analysis and consultation.
  • Works in an open office environment (if in office/not fully remote)
  • Ability to pass a background check.

Preferred Qualifications

  • Master’s degree in public health, economics, statistics, policy analysis or a related area and / or equivalent experience / training.
  • Doctoral degree in public health, economics, statistics, policy analysis or a related area and / or equivalent experience / training.
  • Skills in project management.
  • Research skills at a level to evaluate alternate solutions and develop recommendations.
  • Skills with cleaning, merging, and managing large longitudinal datasets.
  • Skills in data organization and demonstrated attention to details.
  • Experience using intermediate-to-advanced statistical techniques (e.g. longitudinal regression models)
  • Knowledge of concepts (e.g. confounding, selection bias) and techniques relevant to modern epidemiology and/or econometric analysis.

Please find more information and apply at:

https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=6495&siteid=5861#jobDetails=3264275_5861

 

More Information »

Research Data Analyst - Intergenerational Socio-Economic Status and Dementia Risk - University of California, San Francisco

CLOSING DATE: open until filled

OPPORTUNITY TYPE: Job

JOB #: 18507

POSTED: March 11, 2022

Description:

The Research Data Analyst will support a newly funded National Institute on Aging-funded project to understand lifecourse socio-economic contributors to late-life dementia risk across a range of global settings. Dementia is a leading cause of death worldwide and one of the primary contributors to late-life disability globally. Socio-economic factors such as education have long been recognized as core contributors to dementia risk at a population level. However, researchers have only given limited consideration to how the socio-economic status of one’s adult children may influence the dementia risk and related outcomes of their older parents.

The Research Data Analyst will help develop a platform of global population-based aging studies from which to conduct rigorous quantitative research on whether and how adult child socio-economic status contributes to older parents’ dementia risk, working alongside leaders in the field of dementia epidemiology and econometric and epidemiologic methods. The Research Data Analyst’s primary role will be to work alongside the Principal Investigator and her study team to clean, organize, and analyze large datasets from longitudinal surveys of older adults across global settings. Specifically, the position will involve cleaning, merging, and organizing multiple large longitudinal data sources, running analyses using a range of intermediate to advanced analytic methods (e.g. mixed linear models, instrumental variables analysis, weighting techniques), conducting sensitivity analyses, and preparing results for dissemination (e.g. via peer-reviewed publications, posters). Additional tasks may include supporting literature reviews on relevant substantive or methodological topics, supporting code review for projects across the broader research team, developing and maintaining data and/or project organization systems across the research team, and assisting with the development of research proposals.

Note: this is a contract role with very high possibility of extension. We offer full benefits & hybrid work model. Fully remote work would be considered for the right candidate. 

Required Qualifications

  • Bachelor’s degree in related area and 3 or more years of related work experience; and / or equivalent experience / training.
  • Demonstrated skills in statistical analysis using STATA and/or R.
  • Thorough knowledge of research function.
  • Thorough skills associated with statistical analysis and systems programming.
  • Thorough skills in analysis and consultation.
  • Works in an open office environment (if in office/not fully remote)
  • Ability to pass a background check.

Preferred Qualifications

  • Master’s degree in public health, economics, statistics, policy analysis or a related area and / or equivalent experience / training.
  • Doctoral degree in public health, economics, statistics, policy analysis or a related area and / or equivalent experience / training.
  • Skills in project management.
  • Research skills at a level to evaluate alternate solutions and develop recommendations.
  • Skills with cleaning, merging, and managing large longitudinal datasets.
  • Skills in data organization and demonstrated attention to details.
  • Experience using intermediate-to-advanced statistical techniques (e.g. longitudinal regression models)
  • Knowledge of concepts (e.g. confounding, selection bias) and techniques relevant to modern epidemiology and/or econometric analysis.

Please find more information and apply at:

https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=6495&siteid=5861#jobDetails=3264275_5861

 

More Information »