Quantitative Methodologist at Oregon Health & Science University in Portland, Oregon

Job Description:

Oregon Health & Science University

Oregon Health & Science University values a diverse and culturally competent workforce. We are proud of our commitment to being an equal opportunity, affirmative action organization that does not discriminate against applicants on the basis of any protected class status, including disability status and protected veteran status. Individuals with diverse backgrounds and those who promote diversity and a culture of inclusion are encouraged to apply. To request reasonable accommodation contact the Affirmative Action and Equal Opportunity Department at 503-494-5148 or aaeo@ohsu.edu.


Quantitative Methodologist

US--Telecommuting

Job ID: 2024-30103
Type: Regular Full-Time
# of Openings: 1
Category: Research
Telecommuting

Overview

This faculty member will be an integral part of the research in the department. This will include:

• Serving as PhD-level quantitative lead on study teams in collaboration with DFM investigators on research projects, including contributing to and leading efforts in grant development and writing, study design, analysis, and publication of results
• Developing or expanding one’s own area(s) of methodological or content area expertise, and obtaining local or national funding for their research
• Mentoring master-level biostatistician team members, as well as faculty, residents, and students
• Contributing to development of resources for skill-building within DFM faculty and Research Associate groups
• Presenting research findings at scientific conferences
• Developing management and interpersonal skills to lead and sustain diverse academic teams
• While teaching is not a requirement, it is encouraged; there are opportunities to teach at OHSU, in the MPH/MS program and in the department

Responsibilities

• Doctoral degree in Biostatistics, Statistics, Quantitative Epidemiology (or related field)

• Strong record of research and peer-reviewed publication history, commensurate with rank

• Outstanding communication skills, including proven ability and joy in communicating complex ideas and concepts (both orally and in writing) to scientific and non-scientific audiences

• Demonstrated ability to supervise and mentor

• Extensive experience collaborating with other investigators, commensurate with rank

• Demonstrated commitment to excellence in research activities

• Demonstrated experience with and enthusiasm for collaborative research, particularly with mixed-methods teams

• Ability to maintain a safe working and learning environment

• Ability to achieve project goals on time and within budget

• Expertise with statistical software (e.g., R, Stata, SAS)

• Expertise applying data science/analytic methods in one or more dataset types including electronic health records, administrative claims, survey, or qualitative coded data

PI241265224

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