University of California, San Francisco Logo

University of California, San Francisco

Data Analyst

Reposted 2 Months Ago
In-Office
San Francisco, CA, USA
Junior
In-Office
San Francisco, CA, USA
Junior
Support CHAMPPS research by extracting and validating clinical data from Epic, building and maintaining REDCap/Qualtrics/Atlas.ti databases, performing data quality checks, generating reports and visualizations, assisting with IRB/grant documentation and project coordination, and maintaining confidentiality while collaborating with multi-site stakeholders.
The summary above was generated by AI

JOB SUMMARY

The Division of Geriatrics seeks to recruit a full-time Data Analyst to support the Cognitive Health Assessment Metrics Post Positive Screen (CHAMPPS) project to focus on data collection, organization, management, and reporting. Reporting to the Principal Investigator, the Data Analyst will collaborate with a multi-site team to conduct key research activities, including Epic chart data abstraction. This role involves extracting, validating, and analyzing clinical data from patient records to support study objectives, ensure data quality, and contribute to research deliverables. The Data Analyst will also prepare reports, charts, tables, and other visualizations to effectively communicate findings. Additional responsibilities include building and maintaining quantitative (and potentially, qualitative) databases, supporting project planning, tracking timelines and milestones, and developing  strong professional relationships with internal/external stakeholders. The role may also include other operational/administrative tasks to ensure overall project success. The ideal candidate would have significant experience with chart abstraction, quantitative research, and mixed methods research. We are seeking an individual who is highly collaborative, mission-driven, and has a strong interest in, and ideally background in research related to diverse populations, equity, older adults, and/or dementia care. A successful candidate is highly organized and able to prioritize multiple deadlines and competing tasks. Working with sensitive participant data requires utmost discretion and confidentiality. Effective communication skills (both verbal and written) are essential to this position.

REPORTING RELATIONSHIPS

Not applicable.

 

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)

70%

Yes

Data Collection and Management Functions

  • Under the direction of the PIs, builds and maintains project databases and data infrastructure (e.g. in REDCap, Qualtrics, and/or Atlas.ti)
  • Conducts structured chart reviews in Epic to extract study-specific data elements
  • Accurately abstract and enter data into research databases (e.g., REDCap)
  • Runs data reports using Epic EHR tools. E.g. workbench, SlicerDicer
  • Perform data validation and quality assurance checks to ensure accuracy and completeness
  • Maintains detailed documentation of data definitions, workflows, and abstraction procedures
  • Identify any discrepancies and resolve data issues in collaboration with the team
  • Helps standardize data collection across collaborating sites (e.g. through standard work documents) to accurately track data collection and management methods
  • Performs literature searches/other research activities to gather data
  • May transcribe qualitative data

15%

Yes

Project Implementation and Coordination Functions

  • Collaborates on the design, documentation, testing and implementation of the research project including conducting literature reviews, preparing protocols for IRB applications, and assistance with grant preparation and submission
  • Ensures compliance with all applicable policies, escalating matters to the leadership team where needed
  • Support other project-related tasks as needed (such as calendar management and expense reimbursements)
  • Coordinates implementation with cross-organizational departments or external entities as needed
  • May coordinate the recruitment of study participants, including scheduling participants for interviews

15%

Yes

Reporting and Data Analyses

  • Generate basic summaries and reports to support analysis and study progress
  • Assists with creation, revision, and/or submission of research reports, white papers, posters, presentations, and publications

0

 

 

0

 

 

0

 

 

0

 

 

0

 

 

0

 

 

0

 

 

0

 

 

 

 

 

100%

 

(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 one or more years of related work experience and / or equivalent experience / training.

  • Knowledge of common organization- or research-specific and other computer application programs, such as Microsoft Word, PowerPoint, and Windows/Mac.

  • Strong communication and interpersonal skills to communicate effectively, both verbally and in writing.

  • Strong technical skills including Excel, REDCap, web-based applications, database experience.

  • Ability to use discretion and maintain all confidentiality.

  • Strong analytical / problem-solving skills.

  • Highly organized and able to multi-task with demanding timeframes and juggle multiple competing priorities.

  • Demonstrated experience working with people from diverse cultural backgrounds and vulnerable populations.

  • Experience using SmartSheets or other project management software.

  • Demonstrates ability to use sound judgment in responding to issues and concerns.

  • Experience working in Epic (or similar EHR system).

 


Preferred Qualifications

  • Master’s degree in a health care or social scientific field (e.g., MPH, MS, MA, MPA)

  • Knowledge of UCSF and departmental policies for dealing with reimbursement, guidelines for research, confidentiality and HIPPA regulations.

  • Experience working with CA state funded grants.

     

HQ

University of California, San Francisco San Francisco, California, USA Office

San Francisco, CA, United States

University of California, San Francisco Daly City, California, USA Office

Daly City, United States

University of California, San Francisco Oakland, California, USA Office

Oakland, United States

University of California, San Francisco Richmond, California, USA Office

Richmond, United States

University of California, San Francisco San Rafael, California, USA Office

San Rafael, United States

University of California, San Francisco South San Francisco, California, USA Office

South San Francisco, United States

Similar Jobs

14 Days Ago
Hybrid
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Software
Analyze company data using SQL and Python to answer business questions, maintain trustworthy data pipelines, identify data-quality issues, and build automated dashboards, scripts, Slack bots, internal tools, and AI workflows. Partner with stakeholders to define needs, evaluate AI tools, improve processes, and document solutions for broader use.
Top Skills: ChatgptClaudeCursorDbtGithub CopilotHexLookerPythonSlackSQL
23 Days Ago
Hybrid
80K-150K Annually
Mid level
80K-150K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Analyze, clean, validate, and reconcile data to produce dashboards, reports, metrics, SQL queries, analytical datasets, and business insights. Partner with stakeholders to define requirements, investigate trends and anomalies, validate data models and workflows, improve data quality, and establish scalable analytics standards and documentation.
Top Skills: APIsData WarehousesDbtEtl/EltGitGrafanaLakehouseLookerPower BIPythonRSQLTableau
16 Hours Ago
Remote or Hybrid
United States
110K-123K Annually
Expert/Leader
110K-123K Annually
Expert/Leader
Aerospace • Hardware • Information Technology • Defense
Supports a defense aviation modernization program by integrating and analyzing complex program data across cost, schedule, risk, logistics, testing, configuration management, and cybersecurity. Develops dashboards and executive reports, performs KPI and performance analysis, supports program reviews and aircraft integration efforts, tracks test results and corrective actions, and automates reporting processes. Requires extensive DoD or aerospace experience, aircraft modernization expertise, and an active Secret clearance.
Top Skills: Contract Cost Data Reporting (Csdr)Contract Funds Status Report (Cfsr)Cybersecurity MetricsDashboardsData VisualizationDynamic Object-Oriented Requirements System (Doors)Integrated Master Schedule (Ims)Work Breakdown Structure (Wbs)

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account