Hospital Quality Institute is committed to providing timely,
accurate information and data displays for hospitals to
continually improve care. The Data Scientist will
collaborate to design, construct, and maintain systems of
sentinel signal detection, data acquisition, analytics, and
timely feedback to support hospital safety and quality
improvement activities to improve care.
REQUIRED QUALIFICATIONS – EDUCATION, EXPERIENCE, AND
Master’s degree in biostatistics, statistics, or other
applied mathematics with at least 3 years of data science
Demonstrated extensive applied experience processing and
analyzing complex data sets using appropriate statistical,
scientific, or professional methodologies using programs and
languages such as SQL, Python, R, or SAS (all required).
Experience conducting research with protected health data and
ensuring compliance with HIPAA, CMIA, HITECH, and other
Superior quantitative data analytical skills, including
experience with Bayesian models. Must be able to analyze complex
data sets using appropriate statistical, scientific, or
professional methodologies, and effectively present findings in
reports for clinical and operational improvement. Experience with
Natural Language Processing is desirable.
Discriminating consumer of research with “translational
skills,” enabling effective communication of technical
information in a user-friendly, non-technical manner.
Advanced skill level in Microsoft Office programs.
Demonstrated strong organizing skills and attention to
MAJOR DUTIES AND TASKS
Spearhead the development, testing, and maintenance of member
quality analytics systems.
Develop, implement, and maintain sentinel signal detection
systems using machine learning/artificial intelligence analytics
to alert members about evolving trends and risks.
Participate in the development of taxonomies to categorize
safety reports and discharge records, and build, test, and
maintain complex models for classifying reports and records into
Analyze HQI and CHPSO data using a variety of techniques from
simple aggregation to complex data mining to help HQI and CHPSO
maintain and improve large data systems.
Develop and validate risk and (Bayesian) reliability models
used to adjust health care measures for comparability across
Design and implement processes to reduce complexity,
redundancy, and member reporting burdens.
Oversee provision of broad data-related technical assistance
to hospitals and health systems.
Provide expertise for research design, sampling, multivariate
modeling, and other statistical methods.
Find, explore, and leverage new datasets that can expand and
enhance strategies to improve hospital quality.
Because we are a federal contractor, we are required to make sure
you know that all qualified applications will receive
consideration for employment without regard to race, color, sex,
religion, national origin, protected veteran status, gender
identification, sexual orientation or any other legally protected
characteristic, or disability.