Phd Quant Jobs in Graham, WA (NOW HIRING)

Job Description

The Institute for Health Metrics and Evaluation (IHME) has an outstanding opportunity for a Research Scientist to join their Reproductive, Genitourinary and Digestive (RGUD) disease estimation team.

About this Opportunity

Reporting to the Acting Assistant Professor, the Research Scientist is responsible for driving high-impact global health research at IHME, analyzing quantitative data across causes of death, epidemiology, and social determinants to produce key estimates that inform global health policy. This role involves leading research design, mentoring junior staff, and contributing to peer-reviewed publications while managing multiple projects in a collaborative environment. The ideal candidate is a motivated, deadline-driven researcher ready to advance their career by translating cutting-edge scientific advances into meaningful global health insights.

Our office is located in Seattle, Washington at the Hans Rosling Center for Population Health at the University of 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.

Key Responsibilities

• Exhibit command of one or more of the research areas in the RGUD portfolio, 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. (45%)

• Develop and implement new computational and statistical methods. Create, test, and use relevant computer code in R. Maintain, modify, and execute analytic machinery that generates results. Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. (20%)

• Assist in drafting presentations and manuscripts and contribute to funding proposals. Lead and co-author scientific articles in peer-reviewed journals. (15%)

• May lead and/or mentor junior staff. Provide ideas and content for the development of internal trainings. Teach established trainings. Contribute to research design. (10%)

• Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. (5%)

• Other duties as assigned that fall within reasonable scope of research team. (5%)

Required Qualifications

To be considered for this opportunity your application must demonstrate you meet both the minimum qualifications and additional qualifications listed below. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.

Minimum Qualifications

Applicants who do not meet these qualifications will not be forwarded to the Hiring Department.

• Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience.

Additional Qualifications

• 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.

• Excellent written and oral communication skills required, including track record of success in co-authorship 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.

• 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.

Preferred Qualifications

• MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred.

• Experience with hepatic or other digestive disease epidemiology strongly desired. Experience with endocrine, metabolic, or genitourinary disease epidemiology also somewhat desirable.

• Expertise in implementing statistical models in a cluster environment to conduct analyses of large datasets and produce large numbers of estimates.

• Experience applying rigorous approaches to model selection, testing, vetting and visualization.

• 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.

Working Conditions

• 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.

• Please note that this position currently has funding through the end of December 2026.

Additional Application Requirement

This recruitment requires a cover letter. Applications that do not include a cover letter will not be forwarded to the hiring department.

Please address the following in your cover letter:

• Please include any information that you would like to share with the team that demonstrates why you would be a good fit for the position that you may not otherwise see through just your resume.

• Please include at least three references with at least one reference being a past or current supervisor.

About the Team

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.

The Reproductive, Genitourinary and Digestive (RGUD) disease estimation team maintains and advances quantitative understanding of the health impacts, levels and trends of digestive diseases (including liver conditions - cirrhosis, hepatitis, and non-alcoholic fatty liver disease), gynecological and urinary disorders, sexually transmitted infections, and maternal disorders, and a subset of endocrine, metabolic, blood and immune disorders. RGUD's work spans production of estimates related to these topics for the GBD, as well as adjacent grants and contracts.

You can read more about IHME on our website here: https://www.healthdata.org/.

Compensation, Benefits and Position Details

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About 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 world. In 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 206-543-6450 or dso@uw.edu.

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.