Research Data Analyst
We tailor your resume to this role and apply for you in seconds.
Apply to Research Data Analyst at UCSF Career SiteJob details
- Location
- San Francisco, California
- Work type
- Hybrid
- Posted
- today
- Apply on
- iazuqy.fa.ocs.oraclecloud.com
About this role
JOB SUMMARY
Involves gathering, analyzing, and interpreting a wide variety of research data. Designs and conducts research, including selecting data samples, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings. Prepares reports, charts, tables, and other visual aids to interpret and communicate data and results.
Responsibilities
DUTIES & ESSENTIAL JOB FUNCTIONS
Identify the functions or tasks that employees in the job perform. The essential functions should state the purpose of the work and the results to be accomplished, rather than how the function is performed. Of the tasks listed, what percentage of time is devoted to each? The more time employees spend on a function, the more likely it is that the function is essential. Generally, include those functions that account for 10% or more of the work, i.e., key items that contribute significantly to the achievement of the job. The functions should add up to 100%.
% of time | Essential Function (Yes/No) |
Key Responsibilities (To be completed by Supervisor) |
35 | Yes |
|
25 | Yes |
|
20 | Yes |
|
10 | Yes |
|
10 | No |
|
0 |
| |
0 |
| |
0 |
| |
0 |
| |
0 |
| |
0 |
| |
|
| |
0% | (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9. The total sum should add up to 100%.) |
Qualifications
Required Qualifications
- Bachelor's degree in related area and / or equivalent experience / training
- Demonstrated experience conducting quantitative data management and statistical analyses using Stata or equivalent statistical software (e.g., R, SAS)
- Knowledge of biostatistics, epidemiology, and advanced regression methods, including linear, logistic, Cox, Poisson, multivariable, and longitudinal analyses
- Experience cleaning, managing, and analyzing large longitudinal research datasets with strong attention to data quality and reproducibility
- Experience interpreting statistical findings and preparing methods, results, tables, figures, and peer-reviewed manuscripts for scientific publication
- Excellent written and verbal communication skills with the ability to collaborate effectively on multidisciplinary research projects
Preferred Qualification
- Masters degree or higher in Public Health or Statistics
- Experience mentoring or providing technical guidance to junior research staff and trainees