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HRTMS Job Description Management

Statistician

RSCH DATA ANL 2 (006256)

UCPath Position ID: 40142457

 

 

 

Position Description History/Status

For Reference ONLY - PeopleAdmin JA Number:

807153

Approved Date:

6/23/2025 8:12:46 PM

Date Last Edited:

6/23/2025 8:12:43 PM

Last Action Effective Date:

3/13/2024

Organization Details

Business Unit (Location):

LACMP

Organization Code:

2400O

Organization:

UCLA FIELDING SCHOOL OF PUBLIC HEALTH

Division Code:

2410D

Division:

PUBLIC HEALTH DIV

Department:

191800 - CNTR FOR HEALTH POLICY RESEARCH

Position Details

UCPath Position Number:

40142457

Position Description ID

170130

UC Payroll Title:

RSCH DATA ANL 2 (006256)

Personnel Program

Professional and Support Staff (PSS)

Salary Grade:

Grade 21

Job Code FLSA:

Non-Exempt

Union Code (Collective Bargaining Unit):

99: Non-Represented (PPSM)

Employee Relations Code:

E: All Others - Not Confidential

Employee Class (Appt Type):

2 - Staff: Career

Full-Time Equivalent (FTE)

1

SUPERVISION

UCPath Reports to Position Number:

40185305

Reports to Payroll Title:

DATA ANALYSIS SUPV 2

UCPath Department Head Position Number:

40061737

Department Head Payroll Title:

ACAD PRG MGR 1


Level of Supervision Received

GENERAL SUPERVISION - Indicates that the incumbent develops procedures for performance of variety of duties; or performs complex duties within established policy guidelines.


POSITION SUMMARY

Under the general supervision of the Director, Statistical Unit for the UCLA Center for Health Policy Research (Center), provide statistical support and data analysis for research projects in the area of health policy for a university research center. Perform data processing, data imputation, and data file development and production,  and methodology research for California Health Interview Survey (CHIS) data.  Provide consultation and statistical support to principal investigators, project managers and external researchers. Perform research and development of tools and systems for implementation of statistical procedures in data management, data augmentation and analysis.  Develop methods for measuring and analyzing health outcomes, and evaluating the efficacy of health programs.  Program on PC based platforms, using SAS and other software, including STATA, R, SUDAAN and Python. Prepare proposals, reports, presentations, and scientific papers for publication.

"This position offers hybrid work-from-home benefit"


Department Summary

The California Health Interview Survey (CHIS) is the largest population-based state health survey in the nation and the premier source of credible and comprehensive data on the health and health care needs of California’s large and diverse population. A model for health surveys for other states, CHIS is committed to ensuring everyone has access to data — policymakers, advocates, health care providers, community organizations, researchers, journalists, and the public — to fight for policies that will improve the lives of Californians through better health and health care. We make sure that data didn’t just sit on a shelf but was accessible and widely disseminated through our public use files and AskCHIS free web query tool. 


Key Responsibilities and Essential Functions

Function

Responsibilities

% Time

Data Management & Statistical Analysis

1. Under the general supervision of the Director, perform programming for data management and analysis.

2. Work with Principal Investigators to plan research designs and address complicated statistical and programming questions.

3. Under direction of Director and/or principal statistician, conduct survey data quality control and augmentations, and create confidential and public analytical data files.

4. Develop computing capabilities to manage databases. Use SAS, Stata and other computing programs to manage and analyze data, provide data in table and other usable formats.

5. Provide statistical support for Principal Investigators and Project Managers.

6. Assist in statistical consultation, identify problems with proposed analysis, develop statistical research strategies to resolve analysis problems, recognize irregularities and invalid results, and assume responsibility for investigating problems independently.

7. Develop and complete Data File Development and Production processes for various follow-on surveys conducted with previous CHIS respondents, including data processing, weighting verification, and tabulation of data products for these follow-on surveys.

8. Develop and maintain internal SAS macros and R Shiny programs used for data management, manipulation, and visualization, to enhance the efficiency of Data File Development and Production systems and processes.

9. Assist the SU director in ensuring that comprehensive data processing documentation exists, and are kept up to date, for all major systems and processes connected to CHIS Data File Development and Production. 

 

50%

Research and Development

1. Research and develop survey methodology for small area estimations, leading to the buildup of AskCHIS NE, a web dissemination tool providing health estimates at neighborhood levels (including zip codes, cities, counties and legislative districts) in California.

2. Assist with grant writing and applications to get external contracts on small area estimation from local government agencies, health foundations and insurance companies.

3. Write grant proposals to obtain internal/external funding for health policy research.

4. Author reports, presentations and scientific papers on small area estimations and other research projects on health policy (e.g. California teen water consumption, prediabetes, etc.).

5. Lead the production of Constructed Variables and Public Use File (PUF) for CHIS.

6. Provide training to assistant statisticians and supervise their work.

7. Support researchers funding follow-on surveys of previous CHIS respondents by advising and assisting in the development of project analysis plans.

8. Research and develop enhanced imputation strategies that employ machine learning algorithms. 9. Research and develop pipelines to improve efficiency and automate the Data File Development processes. 

 

50%


Other Requirements - Applies to all Positions

Performs other duties as assigned.

Complies with all policies and standards.

Complies with the University of California, Los Angeles (UCLA) Principles of Community.

This position description is not intended to be a complete list of all responsibilities, duties or skills required for the job and is subject to review and change at any time, with or without notice, in accordance with the needs of the organization.


QUALIFICATIONS


Educational Requirements

Education Level

Education Details

Required/
Preferred

And/Or

Master's Degree

quantitative methods, statistics, biostatistics or a related field or any suitable equivalent combination of education and experience.

Required

 


Experience Requirements

Experience

Experience Details

Required/
Preferred

And/Or

6 months

of experience in job offered, or as a statistician, statistical programmer or a related occupational title

Required

 


Knowledge, Skills and Abilities

KSAs

Required/
Preferred

Experience creating and utilizing statistical algorithms and conducting power calculations to determine sample size to answer complex research questions.

Required

Demonstrated experience working with large datasets, with a minimum 200 records, using statistical software packages including SAS, R, SPSS, and STATA.

Required

Demonstrated knowledge of at minimum one general object-oriented programming language such as Python, C, or C++.

Required

Demonstrated proficiency with Microsoft Windows software including Word, Excel, MS Access or SQL Server Management Studio.

Required

Demonstrated experience working with Geographic Information Systems (GIS) software including demonstrated experience performing spatial analysis and applying geoprocessing techniques.

Required

Demonstrated knowledge in statistical analyses including generalized linear model, multilevel modeling, data mining, survey methodology and Bayesian influences.

Required

Demonstrated experience working on collaborative research requiring statistical consulting.

Required

Demonstrated experience integrating and analyzing large data sets, with a minimum 200 records, from multiple sources such as surveys, the census, and administrative data files.

Required

Demonstrated experience working independently to perform tasks, conducting investigations and problem solving.

Required

Demonstrated ability to effectively communicate in oral and written English communications with all levels of an organization which may include principal investigators, project managers, co-workers of equal stature and subordinate staff.

Required

Demonstrated experience completing multiple projects simultaneously with shifting priorities, deadlines and circumstances; experience must demonstrate organizational skills involving development of tracking systems, prioritizing job duties, and tracking each assignment to a satisfactory completion

Required

Evidence of statistical analyses demonstrating attention to details and a high degree of accuracy.

Required


SPECIAL REQUIREMENTS AND/OR CONDITIONS OF EMPLOYMENT


Reporting and Background Check Requirements

Background Check: Continued employment is contingent upon the completion of a satisfactory background investigation.

Live Scan Background Check: A Live Scan background check must be completed prior to the start of employment.


LOCATION AND PHYSICAL, ENVIRONMENTAL, MENTAL (PEM) REQUIREMENTS

Environment and Work Location Information

Environment Type:

Non-Clinical Setting

Location Setting:

Campus

Location:

10960 Wilshire Blvd., Ste. 1550, Los Angeles, CA  90024


Physical Requirements

The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

Physical Requirements

Never

0 Hours

Occasional

Up to 3 Hours

Frequent

3 to 6 Hours

Continuous

6 to 8+ Hours

Is Essential

Standing/Walking

 

X

 

 

 

Sitting

 

 

X

 

X

Bending/Stooping

X

 

 

 

 

Squatting/Kneeling

X

 

 

 

 

Climbing

X

 

 

 

 

Lifting/Carrying/Push/Pull 0-25 lbs

 

X

 

 

X

Lifting/Carrying/Push/Pull 26-50 lbs

X

 

 

 

 

Lifting/Carrying/Push/Pull over 50 lbs

X

 

 

 

 

Physical requirements other

X

 

 

 

 


Mental Requirements

The mental requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

Exposures

Never

0 Hours

Occasional

Up to 3 Hours

Frequent

3 to 6 Hours

Continuous

6 to 8+ Hours

Is Essential

Sustained attention and concentration

 

 

X

 

X

Complex problem solving/reasoning

 

 

X

 

X

Ability to organize & prioritize

 

 

X

 

X

Communication skills

 

 

X

 

X

Numerical skills

 

 

X

 

X

Mental demands other

X

 

 

 

 


Blood/Fluid Exposure Risk

The exposure described here is what can be expected of an employee in performing the essential functions of this position.

X

Classification 3:  Position in which exposure to blood, body fluids or tissues is not part of the position description. The normal routine task involves no exposure to blood, body fluids or tissues and the employee can decline to perform tasks which involve a perceived risk without retribution.