Remote Oncology Data Analyst: SQL, Tableau & OnCore

Stanford University; Northern (KY); Hybrid; USD 85,000 - 120,000; Full time

Job summary

Stanford University’s Cancer Institute seeks an OnCore Data Analyst 3 to perform complex data work supporting oncological clinical research. The role emphasizes SQL in Snowflake, OnCore, REDCap, and Tableau for reporting and visualization.

Remote work arrangement with potential extended hours during peak cycles, reporting to the Director of Clinical Research Services. Collaborative, detail-oriented candidates with strong organizational skills are encouraged to apply.

Qualifications

• Strong technical background in SQL, Snowflake, data modeling, and data preparation.
• Experience working in Tableau Desktop and REDCap.
• Working knowledge of clinical trials
• Ability to analyze complex systems and workflows.
• Experience with electronic medical records system such as Epic
• Proficiency with NCI’s Cancer Center Support Grant (CCSG).
• Excellent problem solving, analytical, and project management skills.
• Strong interpersonal skills.
• Takes initiative and tackles challenges with enthusiasm.

Responsibilities

• Generate data tables using SQL queries in Snowflake for data extraction.
• Utilize OnCore, REDCap, and Tableau for presentations, publications, and posters.
• Prepare customized reports about Stanford oncological clinical trials and accrual for the NCI, SCI Administration, and PIs.
• Collaborate with research teams and Stanford Health Care departments to support safe and compliant clinical research.

Skills

SQL

Snowflake

data modeling

data preparation

Tableau Desktop

REDCap

Epic

clinical trials

problem solving

project management

interpersonal skills

Tools

Snowflake

Tableau Desktop

REDCap

Epic

Job description

Stanford University’s Cancer Institute seeks an OnCore Data Analyst 3 to perform complex data work supporting oncological clinical research. The role emphasizes SQL in Snowflake, OnCore, REDCap, and Tableau for reporting and visualization.

Remote work arrangement with potential extended hours during peak cycles, reporting to the Director of Clinical Research Services. Collaborative, detail-oriented candidates with strong organizational skills are encouraged to apply.