Job title: RESEARCHER, NEONATAL & CHILD HEALTH
Company: University of Washington
Job description: If you are using a screen reader and experience any difficulty accessing our web pages, please call 206-543-2544 or email and we will be happy to assist you.
RESEARCHER, NEONATAL & CHILD HEALTH
RESEARCHER, NEONATAL & CHILD HEALTH
Req #: 208216
Job Location: Remote/Hybrid, Seattle – Other
Job Location Detail: Office in located in Seattle; position is eligible to work fully remote within the U.S. (excluding U.S. territories)
Posting Date: 06/10/2022
Closing Info: Open Until Filled
Salary: Salary is commensurate with education and experience
Union Position: Yes
Shift: First Shift
Notes: As a UW employee, you will enjoy generous benefits and work/life programs. For detailed information on Benefits for this position,
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 monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. IHME carries out a range of projects within different research areas including: the Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Costs and Cost Effectiveness; Resource Tracking; and Impact Evaluations. The aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
IHME has an excellent opportunity for a Researcher to join our Neonatal and Child Health Team.
You will primarily work with the Neonatal and Child Health Team with a focus on analyzing and producing key estimates for multiple aspects of maternal and child nutrition as it relates to developmental and health outcomes. Specific causes under the purview of the NCH team include congenital birth defects, hemoglobinopathies, cerebral palsy, neonatal/perinatal disorders, low birth weight and prematurity, anemia, child growth and anthropometrics, malnutrition, suboptimal breastfeeding, maternal care, and oral/dental health. IHME researchers 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 senior research leads and external collaborators and 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 availability.
- Develop a core understanding of neonatal and child health topic areas that are primary foci of the NCH team, including relevant epidemiology, pathophysiology, geographic distribution, temporal trends, drivers of inequity, and their immediate and long-term health implications.
- 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 of related experience, or equivalent combination of education and experience.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
- 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.
- 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.
- 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 (Python or R strongly preferred).
- 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.
- 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.
- Weekend and evening work sometimes required.
- This position is open to anyone authorized to work in the US. The UW is not able to sponsor visas for staff positions.
- Office is located in Seattle, Washington. This position is eligible to work fully remote in the US.
The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select “Apply to this position”. Once you begin an assessment, it must be completed at that time; if you do not complete the assessment you will be prompted to do so the next time you access your “My Jobs” page. If you select to take it later, it will appear on your “My Jobs” page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
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 .
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 , and committed to becoming climate neutral.
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 .
COVID-19 VACCINATION REQUIREMENT
Governor Inslee’s requires employees of higher education and healthcare institutions 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 for information about the medical or religious exemption process for final candidates.
Location: Seattle, WA
Job date: Mon, 13 Jun 2022 22:59:29 GMT
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