The Data Scientist will
be responsible for the creation of advanced static models, dynamic models and
algorithms, through data science, numerical methods and statistics.
Data discovery, profiling and analysis of real-time and historical clinical
Data management, classification and taxonomy development
development and testing
model and algorithm development and training
with the multi-disciplined business analysts, technical analysts, data scientists
and software engineers
of support tools, documentation and designs of algorithms for
implementation in healthcare big data ecosystem
collaboratively to design, implement and maintain data science models and
programs to apply data science methodologies, including predictive
modeling and machine learning, data analytics and visualization, and
usability and design, to departmental, service line, and enterprise
applications and functions.
complex data-related problems into actionable business and/or clinical
strategy, and communicate findings to appropriate end-users and
with the development of specifications to support the design of new or
modified data science projects, with a focus on data-driven optimization,
enhancement, and development.
in the evaluation of projects, systems, and initiatives at the department,
service line, and enterprise level. Ensures projects and their outputs
enhance clinical quality, patient safety, and institutional efficiency,
focusing on all aspects of data science, including data gathering and
wrangling, exploratory data analysis, data modeling and machine learning,
and model implementation and evaluation. Ensures high quality execution of
all proposed projects.
in present and planned data science projects and maintains voice of the
customer in all project initiatives.
as the link between the clinical staff (customer) requirements and IS
- Assists in ensuring that systems are
implemented to support Health System initiatives and goals to improve the
quality of patient care, to maximize patient safety, and to provide
POSITION REQUIREMENTS AND QUALIFICATIONS:
- PhD in Computer Science, Biomedical Informatics
or related field
with predictive modeling in healthcare, is preferred
with healthcare data, including HL7, EMR and claims data, is preferred
with natural language processing, is preferred
with using languages like R, Scala and Java, is preferred
of Hadoop environment, is preferred
with big data cluster computing tools like Spark, is highly-desirable
with machine learning (supervised and unsupervised), is preferred
with statistical analysis, is essential
with hypothesis testing, is essential
with statistical software packages (R, Python, MATLAB, SAS or related
proficient with Excel, Microsoft Office and using data visualization tools
(e.g., Tableau, Qlik, PowerBI) to present data in clear, concise formats
creative thinking, learning agility, decision making, problem solving,
reasoning, and visualization skills and abilities.
- Interest in
becoming a content expert in healthcare reporting databases and
effectively with excellent verbal/written communication skills.
with developers for customized development.
- Able to
manage multiple tasks, often with competing deadlines.
- Possess the
ability to contribute to an environment that motivates individuals to work
collaboratively as a team
Reasonable accommodation will be made to enable
individuals with disabilities to perform the essential physical demands.
for All Employees:
- Demonstrate knowledge of and conduct
himself/herself in conformity with the CHS Compliance Assurance Program and
Standards of Conduct. Employee shall
receive a copy of the CHS Compliance Program Handbook and be aware of the CHS
Helpline. Employee will perform all work
activities according to the highest ethical and legal standards.
- Conduct himself/herself in conformity with
the HIPAA Compliance Program and applicable institutional policies and
procedures for patient privacy.
- Play an active role in the CHS Information
Security Awareness Program by following and supporting all CHS information
security policies and procedures to the best of their ability. This will include reporting any suspected
fraud, abuse, or violation of policy to the appropriate management or reporting
- Support the organizations mission, vision,
and values by exhibiting the following behaviors: excellence and competence,
collaboration, innovation, respect personalization, commitment to our
community, and accountability and ownership.