Job Description
The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely relevant and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD) Injuries and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations.
IHME has an excellent opportunity for a Temporary Researcher on the Gender Equality Metrics team. This team produces estimates of gender-based violence for the Global Burden of Disease (GBD) Study and analyzes sex differences in GBD outputs and other indicators of interest. IHME Researchers (Payroll Title: IHME Research Scientist 1 (E S 8 SEIU 925 IHME)) analyze and produce key estimates for their assigned research team and will assess all available quantitative data including those on causes of death epidemiology and a range of determinants such as education and income from surveys vital registration censuses literature registries and administrative records. Using established modeling tools and through creation of novel code Researchers incorporate all relevant data to produce the most up-to-date and scientifically credible results.
You will be integrally involved in producing critiquing improving and disseminating results. You already have a command of epidemiology statistics disease modeling or related interests and we will help you develop an understanding of our core research and methodology. Our Researchers work with data and research professionals at all levels and with external collaborators to take part in the intellectual exchange about how to improve upon and disseminate the results.
You are expected to interact successfully with a wide range of partners and to describe complex concepts and materials concisely. Overall Researchers are critical members of agile dynamic research teams.
This position is contingent on project funding.
Responsibilities:
Develop a core understanding of assigned research area methodology and its components.
Under the guidance of experienced scientist and/or faculty carry out quantitative analyses and statistical modeling to produce results designated on a given timeline as part of collaborative research projects.
Extract data from various sources and databases. Format transform review and assess data sources to determine their relevance and utility for ongoing analysis. Understand key data sources and variations in these across and within countries.
Review assess and improve results and methods.
Apply computational and statistical tools and algorithms for the preprocessing analysis and visualization of source data.
Document code and analytic approaches systematically so that analyses can be replicated by other team members.
Lead discussion in research meetings about results and analyses to vet improve and finalize results.
Contribute to the creation of presentations manuscripts and funding proposals. Coauthorscientific publications in peer-reviewed journals.
Maintain scientific awareness and intellectual agility with data methods and analytic techniques.
Other duties as assigned that fall within reasonable scope of research team.
Minimum Requirements:
Masters degree in public health epidemiology statistics biostatistics math economics quantitative social sciences or related discipline plus 1 year of related experience.
Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements such as a license certification and/or registration.
Additional Qualifications:
Proven interest and some experience in a given disease risk key indicator methodological area and the related data sources and scientific underpinnings.
Strong analytic critical thinking and quantitative skills.
Ability to professionally and effectively communicate and work with other staff at all levels in order to achieve team goals for the analyses and related outputs.
Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key.
Working ability with at least one statistical programming language including R..
Excellent communication skills both oral and written.
Ability to work both independently and in collaboration with a team.
A long-term interest in a research scientist position contributing to the overall mission of our research.
Desired Qualifications:
Track record of success in co-authorship on scientific papers presenting results and representing research at meetings.
Knowledge of machine learning data mining and analytic techniques.
Conditions of Employment:
Weekend and evening work sometimes required.
This position is open to anyone authorized to work in the US.
Working internationally is only allowed for IHME sponsored work that requires in -country participation.
Office is located in Seattle Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor.
A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION.
Please in your cover letter:
Provide three professional references including name position company email and phone as well the name and contact information for your current supervisor including email.
If you are not currently employed please provide the name and contact information for your most recent supervisor including email.
Compensation Benefits and Position Details
Pay Range Minimum:
$92676.00 annualPay Range Maximum:
$111816.00 annualOther Compensation:
-Benefits:
For information about benefits for this position visit Shift (United States of America)Temporary or Regular
This is a temporary positionFTE (Full-Time Equivalent):
100.00%Union/Bargaining Unit:
SEIU Local 925 - IHMEAbout the UW
Working at the University of Washington provides a unique opportunity to change lives on our campuses in our state and around the world.
UW employees bring their boundless energy creative problem-solving skills and dedication to building stronger minds and a healthier return they enjoy outstanding benefits opportunities for professional growth and the chance to work in an environment known for its diversity intellectual excitement artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive respectful and welcoming community for all. As an equal opportunity employer the University considers applicants for employment without regard to race color creed religion national origin citizenship sex pregnancy age marital status sexual orientation gender identity or expression genetic information disability or veteran status consistent with UW Executive Order No. 81.
To request disability accommodation in the application process contact the Disability Services Office at or .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.
Required Experience:
IC