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.


Research Scientist, Informatics

US--Telecommuting

Job ID: 2024-29954
Type: Regular Full-Time
# of Openings: 1
Category: Information Systems
Telecommuting

Overview

• Research Support: Provide research support to Informatics program under the supervision of the Director of Informatics in the areas of health information exchange, health data management, data governance, cyber-physical system to support FAIR principle, but not limited to these areas.

• Manuscript Writing: Lead the development and writing of manuscripts. Determine new strategies for further dissemination of Informatics projects. Work independently to increase program impact (develop strategies to increase dissemination activities and determine additional avenues for product use).

• Grant Proposal support: Support grant proposal development and strategic partnership building at national scale.

• Innovation and dissemination: Contribute to the general body of informatics and biomedical research knowledge by pursuing opportunities to present at informatics and translational science conferences. Participate in OHSU wide innovation activities in Informatics and implement innovation related partnership and activities.

• Strategic Project management: Align strategic investments in Informatics with the research agenda of the next generation AI and data systems as envisioned by the Director. Develop project plans based on established methodologies and best practices tailored to the diverse needs of a research informatics /IT environment. Responsible for project identification, planning, and resource allocation for Informatics $2.5M (annual) research project portfolio. Lead and collaboratively develop a process improvement program for various phases of the SDLC and administrative processes. Develop strategies to plan for and manage a dynamic portfolio of projects with competing and shifting priorities and interdependencies to optimize resource and budget allocation.

Responsibilities

• Doctorate Degree in informatics, computer science or related field and 5+ years of relevant post-doctoral work experience

• 5+ years of post-doctoral program management experience with a focus on designing and leading program development and quality improvement projects

• Experience in research and leadership responsibilities consistent with goals of a research program

• Experience in science at a considerable level as determined by the discipline

• Experience in mentoring trainees or research personnel

• Ability to work effectively with software engineers and business analysts to develop realistic project timelines and budgets

• Ability to quickly recognize, assess, and remediate project and resource bottlenecks

• Ability to rapidly elicit, understand, and prioritize high-level requirements, timeline, and budget constraints to assess project feasibility

• Experience in grant proposal development

• Experience in data systems, software development life cycle, cloud computing, informatics systems

• Superior oral and written communication skills

• Enjoy working with physicians, basic science, and other biomedical investigators

• Extremely well-organized self-starter with keen sense of priority, urgency, attention to detail, and commitment to deadlines

Qualifications

• 5+ years of demonstrated scientific expertise leading research program development in the areas of translational informatics, data science, and healthcare data analysis

• Demonstrated ability to oversee multiple projects simultaneously and mentor junior staff in an academic setting

• Strong academic publication record as the lead author in the field of translational informatics science

• Successful grant proposal submissions (prior funding)

• Advanced knowledge of quantitative methodology (artificial intelligence, causal inference, neural network, machine learning)- data management; organizing and leading analysis of large-scale quantitative datasets

• Experience in healthcare data infrastructure

• Experience and publication record with big data from electronic health records.

PI240936155

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