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University of Washington

University of Washington

Public research university in Seattle, WA

Managing Research Scientist - CVD

Full-Time
$120k - $143.8k/yr
Mid
Master's, PhD, MD
Olympia, WA, USA
Remote

Must work core hours overlapping with Pacific Time.

No H1B Sponsorship

About the job

Requirements
  • A Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or a related discipline, plus four years of related experience.
  • Previous supervisory experience with hiring, developing employees, priority setting, setting quality standards, and performance coaching.
  • Excellent analytic, critical thinking, and quantitative disease modelling skills.
  • Intermediate knowledge of and experience with project management methods, including scoping work, setting deadlines, and tracking and reporting progress for self and supervisees.
  • Experience devising and executing statistical modeling techniques.
  • Demonstrated ability to quickly recognize problems in results, identify root causes in data, methods, and code, and implement solutions.
  • Advanced proficiency in designing, executing, and troubleshooting code in R.
  • Excellent written and oral communication skills, including a track record of 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, and to coordinate work across interdependent teams.
  • Experience working with large datasets, including devising strategies for reliable data management, computationally efficient modeling techniques, and critical evaluation of highly multidimensional model outputs.
  • Experience with small-area or geospatial epidemiologic models.
  • Ability to work both independently and in collaboration with a team.
  • Interest in a management-level research scientist position contributing to the overall mission of the Institute for Health Metrics and Evaluation.
  • References and a cover letter are required, including three references with at least one past or present supervisor.
  • Authorization to work in the United States is required.
Responsibilities
  • Independently perform quantitative analyses, including person-level longitudinal data analysis, interpret and vet results from your own results and from other team members, formulate conclusions, and inform team leaders.
  • Contribute to research design and identify innovative solutions to issues.
  • Develop and implement new computational and statistical methods.
  • Write, test, and maintain code in R, the primary language for the team's analytic pipelines.
  • Maintain, modify, and execute analytic machinery that generates results.
  • Manage the scope, timeline, and resources required to deliver high-quality study results.
  • Coordinate with collaborating research sites and partners.
  • Supervise employees, including hiring and training, leading workflow, setting priorities, reviewing work, establishing quality standards, conducting performance assessments, providing mentorship and professional development, and making recommendations for disciplinary action.
  • Identify training needs and opportunities for team members and ensure the team has the necessary resources to complete tasks effectively.
  • Lead effective team meetings and establish identifiable next steps for team members.
  • Monitor individual and team performance, provide feedback, and help resolve performance issues, obstacles, decisions, and conflicts.
  • Ensure that the team adheres to company policies, procedures, and regulatory requirements.
  • Define, scope, and document work for the assigned research project to deliver timely, high-quality results.
  • Identify priorities while balancing competing project objectives, propose work-plan adjustments, and raise delivery risks with mitigation recommendations.
  • Set and meet deadlines for the project team and direct reports, and maintain tracking mechanisms to communicate progress to stakeholders.
  • Lead trainings, give presentations, and conduct seminars on substantive research topics for internal and external partners.
  • Draft presentations and manuscripts and contribute to funding proposals.
  • Lead and co-author scientific articles in peer-reviewed journals.
  • Maintain scientific awareness of data, methods, and analytic techniques, and guide others in adapting during the iterative research process.
  • Grow a peer network around disease and risk factor modelling methods, key indicators, data sources, and scientific foundations.
  • Work evenings or weekends when required and communicated in advance.
Desired Qualifications
  • An MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences, plus two years of experience.
  • Experience with cardiovascular disease and risk factor modelling using large datasets.
  • Experience with Python as a second programming language.
  • Experience mentoring and developing junior employees on soft and technical skills.
  • A peer-reviewed publication record.
  • Experience implementing hierarchical models, particularly small-area estimation or geospatial models.
  • Experience working with United States survey, census, vital registration, and other data sources.

About the company

University of Washington

University of Washington

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The University of Washington is a public research university founded in 1861, with campuses in Seattle, Bothell, and Tacoma. It provides undergraduate, graduate, and professional education alongside research and public service.

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