About the Role
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world.
UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.
The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. 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, Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. Our vision is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base so all people live long lives in full health.
IHME is committed to providing the evidence base necessary to help solve the world’s most important health problems. This requires creativity and innovation, which is cultivated by an inclusive, diverse, and equitable environment that respects and appreciates differences, embraces collaboration, and invites the voices of all IHME team members.
IHME has an excellent opportunity for a Researcher to join our Resource Tracking Domestic Health Accounts research team on the Brain Health Initiative project. The Domestic Health Accounts research team develops research intended to estimate financial and other costs for specific health conditions globally. Research from this team has been published in a wide-set of peer-reviewed journals, presented around the globe, and reported online through an interactive visualization. The Brain Health project will generate social and personal costs for a broad set of health conditions that impact the brain, including neurological, cerebrovascular, and mental health disorders. This project will create a set of direct and indirect impact estimates by country and by condition with the intent to more fully understand the non-health burden of key diseases, compare that burden across countries, and where possible to assess time trends. The research is policy-relevant, with long-term goals to assess what determines different levels of non-health burden for these diseases and the team at a unique moment of expansion in scope. The team’s Researcher will analyze and produce key estimates for the research team and will assess all available quantitative data– 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 senior research leads and external collaborators and take part in the intellectual exchange about how to improve upon the results and disseminate the results. Researchers are expected to interact successfully with a wide range of internal and some external partners, and to describe complex concepts and materials concisely. 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 availability.
• DUTIES AND RESPONSIBILITIES
Develop a core understanding of Brain Health Initiative project 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 creation of presentations, manuscripts, and funding proposals. Co-author paper(s).
• Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
• Other duties as assigned that fall within reasonable scope of research team.
• Master’s degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences or related discipline plus 1 year related experience or equivalent combination of education and experience.
• Proven interest and some experience in a given disease, risk, key indicator, methodological area, and the related data sources and scientific underpinnings.
• Demonstrated ability in using large-scale, complex datasets.
• Adept diplomacy and exemplary interpersonal skills required. Must be agile at forming respectful and rewarding relationships with people with different levels of experience and expertise from a variety of cultural, linguistic, and professional settings.
• Strong organizational skills and the ability to successfully manage multiple tasks and priorities to meet established and changing deadlines.
• 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 that 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 (R or Python).
• 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.
• A commitment to working alongside others at IHME to illuminate the health impacts of systemic racism and to work within IHME to make our organization more diverse and inclusive. See IHME’s DEI statement here: https://www.healthdata.org/about/mission-vision/DEI.
• 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 U.S. The UW is not able to sponsor visas for staff positions.
• The University of Washington requires students and personnel to be vaccinated against COVID-19 as a condition of employment. To learn more about the requirements, please review the following: https://www.ehs.washington.edu/covid-19-prevention-and-response/uw-covid-19-vaccination-policy?_ga=2.31959098.540467107.1629831944-1755727657.1623616042
• Office is located in Seattle, Washington. This position is eligible to work fully remote in the US.
•Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
The University of Washington is an equal opportunity, affirmative action employer. To request disability accommodation in the application process, contact the Disability Services Office at
206-543-6450 / 206-543-6452 (TTY) or email@example.com.
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.
Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral. The University of Washington is a leader in environmental stewardship & sustainability, and committed to becoming climate neutral.
The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or firstname.lastname@example.org.
COVID-19 VACCINATION REQUIREMENT
Employees of the University of Washington are required to be fully vaccinated against COVID-19 unless a medical or religious exemption is approved. Being fully vaccinated means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen. As a condition of employment, newly hired employees will be required to provide proof of their COVID-19 vaccination. View the Final candidate guide to COVID-19 vaccination requirement webpage for information about the medical or religious exemption process for final candidates.