Senior Health Data Scientist

University of Hawaii System Office

12d•$2,964 - $3,000•Remote

About The Position

CLOSING DATE: December 31, 2025, or until filled. Job postings are removed from the RCUH Job Openings site once the recruitment process has ended. Regular, Part-Time (25% FTE), RCUH Non-Civil Service position with the Thompson School of Social Work & Public Health, located in Honolulu, Hawai'i. Remote work may be permissible with the appropriate approvals. Continuation of employment is dependent upon program/operational needs, satisfactory work performance, availability of funds, and compliance with applicable Federal/State laws. MONTHLY SALARY RANGE: $2,964 - $3,000/Mon (25% FTE). DUTIES: Supervises key data harmonization, analyses, and presentation tasks to fulfill contract obligations to Hawai'i Hospital Education and Research Foundation (HHERF) in service of the Maternal Health Innovation and Perinatal Quality Collaborative projects; Hawai‘i State-wide efforts to improve pregnancy outcomes and reduce severe maternal morbidity and mortality disparities across the State. Devises an analytic strategy to refine detection and estimation of severe maternal morbidity from existing medical records and other sources of surveillance data. Develops algorithms incorporating machine learning as necessary to improve the classification and prediction of severe maternal morbidity and disparities and determinants thereof based on routinely collected Electronic Health Record (EHR) and Hospital Discharge data. Provides expert technical assistance on developing and implementing a data access framework around several maternal morbidity and other key maternal health outcomes. Advises on State-wide landscaping of public and private (hospital) data and data system. Co-develops and proposes a mechanism by which to obtain and share access to data needed for the two (2) strategies above while ensuring ethical and legal privacy requirements are met.

Requirements

EDUCATION: PhD from an accredited college or university in Epidemiology, Biostatistics, or Statistics or related field.
EXPERIENCE: Three to five (3-5) years of experience in quantitative epidemiology and biostatistics including substantial work with machine learning models for outcome classification.
KNOWLEDGE: Expert knowledge of reproductive and perinatal outcome disparities, including geospatial, social, structural, and behavioral determinants.
Demonstrated knowledge and use of database systems for maternal morbidity and mortality disparities including health care electronic medical record systems through peer-reviewed publications.
ABILITIES & SKILLS: Proficient in at least one (1) statistical programming language such as R.
Must be able to complete the UH Title IX training within 30 days from date of hire, and re-certify annually.
Must be able to complete the UH Information Security Awareness Training (ISAT) within two (2) weeks from date of hire, and re-certify every twelve (12) months.
As a condition of employment, employee will be subject to all applicable RCUH policies, procedures, and trainings and, as applicable, subject to University of Hawai‘i's and/or business entity's policies, procedures, and trainings. Violation of RCUH's, UH's, or business entity's policies and/or procedures or applicable State or Federal laws and/or regulations may lead to disciplinary action (including, but not limited to possible termination of employment, personal fines, civil and/or criminal penalties, etc.).

Nice To Haves

Knowledge and experience in quantitative causal inference principles, their applications, and data limitations.
Knowledge and experience in machine learning for clinical prediction and/or causal inference.
Knowledge and passion for improving data access and usage, particularly by community members or organizations who disproportionately experience poorer health outcomes.
Experience preparing data visualizations and reports for non-specialist audiences.
Experience communicating and engaging non-experts on data and data concepts.

Responsibilities

Supervises key data harmonization, analyses, and presentation tasks to fulfill contract obligations to Hawai'i Hospital Education and Research Foundation (HHERF) in service of the Maternal Health Innovation and Perinatal Quality Collaborative projects
Devises an analytic strategy to refine detection and estimation of severe maternal morbidity from existing medical records and other sources of surveillance data.
Develops algorithms incorporating machine learning as necessary to improve the classification and prediction of severe maternal morbidity and disparities and determinants thereof based on routinely collected Electronic Health Record (EHR) and Hospital Discharge data.
Provides expert technical assistance on developing and implementing a data access framework around several maternal morbidity and other key maternal health outcomes.
Advises on State-wide landscaping of public and private (hospital) data and data system.
Co-develops and proposes a mechanism by which to obtain and share access to data needed for the two (2) strategies above while ensuring ethical and legal privacy requirements are met.