• Data Scientist II (Full-Time, 40, Day Shift)

    Queen's Health System (Honolulu, HI)


    RESPONSIBILITIES

    I. JOB SUMMARY/RESPONSIBILITIES:

    • Assists with the design, development, and deployment of machine learning and predictive analytics within the data warehouse, which includes the integration of algorithms into existing analytic solutions.

    • Assists with designing, developing, and deploying natural language processing capabilities that leverage both rules-based and machine learning-based approaches and embeds capabilities within analytic applications.

    • Contributes to clinical and operational performance improvement initiatives through activities such as data analysis and support, dashboard and metric development, and clinical disease cohort and registry building.

    • The data domains covered across The Queen’s Health System (QHS) include but are not limited to clinical, financial, ambulatory, population health; social determinates of health, and patient/provider experience data.

    II. TYPICAL PHYSICAL DEMANDS:

    • Required: finger dexterity, seeing, hearing, speaking.

    • Continuous: sitting, static gripping of an object for prolonged periods.

    • Frequent: walking.

    • Occasional: standing, stooping/bending, climbing stairs, walking on uneven ground, lifting and carrying usual weight of 1 pound up to 5 pounds, reaching above, at and below shoulder level, frequent gripping of an object.

    III. TYPICAL WORKING CONDITIONS:

    • Not substantially subjected to adverse environmental conditions.

    IV. MINIMUM QUALIFICATIONS:

    A. EDUCATION/CERTIFICATION AND LICENSURE:

    • Bachelor’s degree in information technology (IT), data science, analytics, healthcare, epidemiology, statistics or related field; or four (4) years’ experience in data science, including development, implementation, and optimization of machine learning and predictive modeling algorithms, and complex data analysis may be substituted for the educational requirement.

    B. EXPERIENCE:

    • In addition to the educational requirement, one (1) year related IT experience in the following:

    o Working knowledge of practices, policies, and systems.

    o Demonstrated application of information technology data and programming principles, theories, concepts, and best practices (e.g. requirements documentation, source code control, change management, promotions, segregation of duties).

    o Working knowledge of Relational Database Management Systems (RDBMS) principles, processes, technologies and tools including management, reporting and visualization of data.

    o Hand coded Structured Query Language (SQL) query development.

    o Database object development, including tables and views, stored procedures, user defined functions, and check constraints.

    o Understanding and application of data analysis and statistics.

    • Experience to demonstrate the following:

    o Fluency in healthcare data.

    o Knowledge of machine learning and predictive analytics.

    o Ability to write and produce R and/or Python code.

    o Ability to lead and mentor other team members.

    o Effective written and verbal communication and presentation skills.

    o Strong sense of customer service to consistently and effectively address business and clinical partners’ needs.

    o Comfortable with ambiguity and changing priorities and direction in projects and core work.

    o Ability to participate in a collaborative work environment partnering with colleagues inside and outside of own department.

    o Self-motivated; comfortable working independently under general direction.

    V. PREFERRED QUALIFICATIONS:

    A. EDUCATION/CERTIFICATION AND LICENSURE:

    • Master’s degree preferred.

    B. EXPERIENCE:

    • Experience with health care regulatory and clinical quality measurements frameworks such as NCQA HEDIS, Meaningful Use, PQRS, OPPE, CORE measures, etc. preferred.

    • Experience with QlikView or other similar visualization and analysis tools (e.g. Tableau) preferred.

    • Experience with data driven web application development, e.g. ASP.net preferred.

    • Knowledge of causal inference techniques preferred.

    • Experience in software engineering preferred.

    • Experience with natural language processing preferred.

    • Hands on experience with Extract, Transform, and Load (ETL) applications preferred.

    • Familiarity with development methodologies including SDLC, and AGILE preferred.

     

    Equal Opportunity Employer/Disability/Vet