Note: The job is a remote job and is open to candidates in USA. The University of Washington is an independent research organization dedicated to improving health policy and practice. They are seeking a Research Scientist to analyze and produce key estimates, contribute to research design, and lead junior staff within the Reproductive, Genitourinary and Digestive disease estimation team.

Responsibilities

• Exhibit command of the team's research areas, including the methodology and its components
• Independently carry out quantitative analyses and participate in reciprocal research projects.

Interpret and vet results from junior staff, formulate conclusions, and inform team leaders

• Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses
• Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn and adapt to additional programming languages as needed. Maintain, modify, and execute analytic machinery that generates results
• Assist in drafting presentations and manuscripts, and contribute to the preparation of funding proposals
• Lead and co-author scientific publications in peer-reviewed journals
• Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques
• May lead and/or mentor junior staff
• Contribute ideas and content for internal and external training materials to enhance understanding and effective use of IHME tools and data.

May participate in teaching established trainings

• Contribute to research design
• Other duties as assigned that fall within reasonable scope of research team

Skills

• Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' 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
• Demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, their biases and limitations, and available approaches to adjust measurements to support valid causal inference
• Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings
• Excellent analytic, critical thinking, and quantitative skills
• 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

• Experience devising and executing statistical modeling techniques
• Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code
• Ease in designing, executing, and troubleshooting code in R or Python
• Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings
• Demonstrated ability to contribute to and sustain collaborations with external research teams
• Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work
• Experience with meta-regression, preferably using Burden of Proof or other published methodology employed to estimate causal relationships from diverse datasources
• 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
• MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred
• Experience with machine learning, data mining, and analytic techniques
• Experience mentoring and developing junior employees on soft and technical skills
• Experience with project management methods
• Peer-reviewed publication record

Benefits

• For information about benefits for this position, visit

Company Overview

• University of Washington is an educational institution that provides undergraduate, graduate, and research programs.

It was founded in 1861, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship

• University of Washington has a track record of offering H1B sponsorships, with 206 in 2025, 216 in 2024, 162 in 2023, 171 in 2022, 169 in 2021, 154 in 2020. Please note that this does not guarantee sponsorship for this specific role.