RESEARCHER-MATERNAL MORBIDITY (PROJECT/TEMPORARY)

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; Local Burden of Disease; 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 Temporary Researcher to join our Neonatal and Child Health team . You will primarily work with the Neonatal and Child Health Team with a primary initial focus on maternal risk factors and their association with fetal, neonatal, and child health outcomes including prematurity, low birth weight, stillbirths, birth defects, and nutritional status. 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 the results 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 and is currently funded through the end of December 2024 with the possibility of being extended.

Responsibilities

• Develop a core understanding of neonatal and child health, with a focus on maternal risk factors, stillbirths, low birth weight, gestational age, birth defects, and nutritional disorders.
• Under the guidance of experienced scientist and/or faculty, and as part of a collaborative team, develop and carry out systematic literature reviews of pregnancy risk factors and neonatal and child health outcomes including development of corresponding development and documentation of the processes.
• 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.
• 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.
• 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.

Requirements
Minimum

• 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.

Additional

• Proven interest and some experience in a given disease, risk, key indicator, methodological area, and the related data sources and scientific underpinnings.
• Strong working knowledge of epidemiology, its core measures, study design and principles causal inference
• 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 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 (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

Desired

• Track record of success in co-authorship on scientific papers, presenting results, and representing research at meetings.
• Track record of success in completion of systematic reviews and meta-analyses
• Knowledge of machine learning, data mining, and analytic techniques.

Condition 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.
• Office is located in Seattle, Washington. This position is eligible to work fully remote in the U.S.

Further Information: See IHME’s website: https://www.healthdata.org/ .

Application Process:

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.