U

University of Washington

Public research university in Seattle, WA

Managing Research Scientist - CVD

Medical ResearchConfirmed live in the last 24 hours
Full-timeOlympia, WA, USA$120k - $143.8k /yr

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

Public research university in Seattle, WA

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.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

Recently Posted Jobs

Explore more opportunities at University of Washington

See more jobs