University of Utah Data Scientist in Salt Lake City, Utah
Open Date 01/15/2020
Requisition Number PRN22932B
Job Title Data Scientist
Job Grade H
FLSA Code Computer Employee
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time? Full Time
Work Schedule Summary
VP Area U of U Health - Academics
Department 00952 - Division of Epidemiology
City Salt Lake City, UT
Type of Recruitment External Posting
Pay Rate Range $75,900 to $130,049
Open Until Filled Yes
The Division of Epidemiology within the Department of Internal Medicine at the University of Utah seeks a highly motivated Data Scientist with backend database architectural experience to join its staff. This individual will work independently and closely with investigators in the field of health services research involving development of disease registries and electronic decision support tools, with a focus on medication effectiveness and safety. Example projects include tracking persistence on medication assisted treatment for opioid use disorder, maintaining a registry for Veterans Affairs (VA) Rheumatoid Arthritis and monitoring the use of oral antineoplastic agents in the VA.
The Data Scientist will assist in further developing the backend architecture of the these database registries; a database/data mart healthcare model supported by a robust extract, transform, and load ( ETL ) process that must be structured and optimized for predictive analytics, natural language processing and causal inference. Excellent communication and professional documentation of are critical aspects of the job. Proactive and proven leadership is required to help the team establish and integrate standard operating procedures to improve the transparence and reproducibility of database workflow management processes. Expertise in Microsoft development tools, such as SSIS , SSAS , pyramid analytics and Power BI are preferred for registry development. The Data Scientist will also fulfill more traditional responsibilities, including the execution of complex analyses against the established registries; making predictions, examining complex relationships, and in identifying trends using database analytic techniques and where required, statistical and other programming languages (e.g., R, Python). The Data Scientist will interpret results, present findings in professional settings, and explain analytic processes undertaken in achieving goals. The Data Scientist will be expected to truly understand the data they are working with and be able to effectively communicate their justification in making decisions during the extraction of data, transformation of data, and analysis. This communication will occur between other technical staff but also with clinicians and researchers without technical backgrounds.
The Data Scientist will understand the data domain, provide leadership in the development of standard operating procedures, lead data modeling and management activities, collaborate with clinical and analytic staff and exhibit professionalism in their communication and documentation of data related activities. Specifically, the Data Scientist will lead the automation of data registries comprised of electronic health data, patient reported outcomes and text extraction from narrative clinical notes. This comprises providing effective design, development and testing of the automated pipelines, workflows, and modules. Generalization of workflows and modules across registries is also expected.
1.Develop database healthcare models and generalized workflows to support of clinical decision making and enhance reproducibility of health services research.
2.Collaborate with other team members on data modeling, analytic workflow, and opportunities for generalization and optimization.
3.Document system requirements and ETL processes to support database architecture and reporting.
4.Ensure data is extracted efficiently, processed accurately, and easily reproduced, with emphasis placed on the importance of gaining a deep understanding of the data and limitations.
5.Uses analytical capabilities to synthesize unstructured data and disjointed information into meaningful, compelling narratives that facilitate development and refinement of data.
6.Generates a wide variety of approaches to solving problems while both tolerating ambiguity and embracing failure as a learning opportunity.
7.Apply natural language processing and other machine learning techniques to various problem spaces in healthcare.
8.Performs data profiling and characterization techniques and can quantify data quality to describe confidence in analytic results.
9.Acuity to translate big, complex data analysis into simple, user-friendly mediums that are easily digestible.
10.To interact closely, almost daily, with other data managers, data scientists, software developers, and statisticians in completing tasks; seeking guidance, but where appropriate, also acting as a resource.
11.To assist in the preparation and submission of presentations, manuscripts, and grants.
12.To participate in all team meetings, where you will be expected to lead, train, and contribute to enriching discussions on database analytics, data visualization, health services research, and related topics.
Familiar with a variety of the field’s concepts, practices, and procedures. Ability to initiate and drive projects to completion with minimal guidance; the ability to communicate the results of analyses in a clear and effective manner. Basic understanding of statistical analysis. Relies on extensive experience and judgment to plan and accomplish goals. Performs a variety of tasks. Leads and directs the work of others. A wide degree of creativity and latitude is expected. Typically reports to a manager or head of a unit/department.
Work Environment and Level of Frequency typically required:
Nearly Continuously: Office environment.
Physical Requirements and Level of Frequency that may be required
Nearly Continuously: Sitting, hearing, listening, talking.
Often: Repetitive hand motion (such as typing), walking.
Seldom: Bending, reaching overhead.
Bachelor’s Degree and 6-8 years of related experience in the field or related area is required.
This position has no responsibility for providing care to patients.
Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.
Master’s Degree and 6-8 years of related experience in the field or related area is preferred.
Expertise with SQL development tools and Power BI or equivalent (i.e., SSRS , Tableau, Pyramid).
Experience with electronic health record ( EHR ) and administrative (i.e., claims) data.
Familiar with standardized healthcare vocabularies and code sets (e.g., ICD9/10, CPT , LOINC , SNOMED , etc).
Proficient in Transact- SQL and experience in ETL development using SQL Server Integration Services ( SSIS ) or other comparable tools.
Proficient in at least one of the following languages: R, Python, or SAS .
Type Benefited Staff
Special Instructions Summary
The University of Utah is an Affirmative Action/Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, University of Utah policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran’s status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law.
To inquire about this posting, email: firstname.lastname@example.org or call 801-581-2300. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities. To request an accommodation or for further information about University AA/EO policies, please contact the Office of Equal Opportunity and Affirmative Action, 201 S. Presidents Cr., Rm 135, (801) 581-8365 (V/ TDD ), email: email@example.com .
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University is a participating employer with Utah Retirement Systems (“URS”). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.This position may require the successful completion of a criminal background check and/or drug screen.