SCI OnCore Data Analyst (Remote)

OnCore Data Analyst – Remote Work Arrangement

The Stanford Cancer Institute (SCI) was re-designated as a Comprehensive Cancer center by the NCI in early 2022, and is a prominent, dynamic, growing, and complex Institute within the Stanford University School of Medicine. The SCI actively works to build synergies and collaborations among faculty with cancer-relevant expertise from four Schools and over 30 departments across Stanford University.

SCI is seeking a Data Analyst 3 to perform complex technical work associated with a wide variety of analytical data and fulfill customized and/or complex, single, and multi-data sources’ information requests. Identify new data sources and approaches. Data Analyst 3 will independently manage and analyze large volumes of information, typically technical or scientific, with minimal supervision. This position will focus on supporting oncological clinical research, production systems, and ongoing maintenance while maintaining close collaborations with internal and external stakeholders. The OnCore Data Analyst 3 will be part of a team responsible for collecting and quality-assuring NCI-required data and will provide ongoing support to users throughout the Cancer Institute and the School of Medicine. He/She will generate data tables using SQL queries in Snowflake for data extraction and utilize OnCore, REDCap, and Tableau for presentations, publications, and posters. In addition, the Data Analyst will prepare customized reports about Stanford oncological clinical trials and their accrual for the NCI, SCI Administration, and Principal Investigators.  

Reporting to the Director of Clinical Research Services, the OnCore Data Analyst 3 will support clinical cancer research. The Director will be conversant with the Institute's goals, mission, and priorities and will use this knowledge to conduct impactful clinical research focused on high-quality and efficiency. We are seeking candidates with excellent organizational skills, attention to detail, and a willingness to learn. Candidates must be eager to take on challenges with a high degree of professionalism, initiative, and flexibility. Responsibilities include working with the research team, clinical staff, and Stanford Health Care departments to support safe and compliant clinical research. 
 

DESIRED 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.

PHYSICAL REQUIREMENTS*:

• Constantly perform desk-based computer tasks.
• Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push, and pull objects that weigh 10 pounds or less.
• Occasionally handwrite, twist, bend, stoop, and squat.
• Rarely stand, walk, reach, or work above shoulders and use a telephone.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.
 

WORKING CONDITIONS:

May work extended hours during peak business cycles.

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.
   

Core Duties:

• Define and drive areas of investigations to assess and producerelevant, standard, or custom information (reports, charts, graphs, andtables) from structured data sources by querying data repositories andgenerating the associated information, including summary interpretationsof results.

• Develop and design methods for identifying data patterns andtrends in available information sources using a variety of qualitativeand quantitative techniques. Proactively suggest areas ofinvestigations.

• Design and create meaningful reports that effectively illustratekey findings within the data. Identify and recommend strategic datacollection and reporting requirements. Effectively convey findings andrecommendations to varied audience groups and seniorleadership.

• Create non-routine databases and generate related informationsummaries. Develop innovative algorithms and statistical models to helpwith finding key insights.

• Perform advanced statistical analyses that are appropriate forcomplex datasets and reporting requirements.

• Provide subject matter expertise for ad-hoc projects andinquiries (e.g., requests for statistical analyses or surveys).

• Direct and drive the implementation of data standards and commondata elements for data collection.

• Lead and/or collaborate with technical staff, project teams orvendors to develop standardizing processes and systemize routinereports, dashboards, and metrics.

• May lead testing of prototype software and participate in theapproval and release process for new software.

• May oversee or supervise staff in the development andimplementation of programs or functions.

Minimum Education:

Bachelor’s degree.

Minimum Experience:

Five years of relevant experience or combination of education andrelevant experience. Experience in a quantitative discipline such aseconomics, finance, statistics, or engineering.

Knowledge, Skills and Abilities:

• Advanced experience applying analytical software, databasemanagement system software, database reporting software, database userinterface and query software, and data mining software.

• Advanced ability to collect data using a variety of methods, suchas data mining and hardcopy or electronic documentation study, toimprove or expand databases.

• Advanced experience utilizing complex statistical tools andtechniques.

• Considerable interpersonal and communication skills toeffectively convey findings and recommendations to a wide variety ofaudiences and influence senior leadership & faculty in keydecisions.

• Ability to manage multiple activities in a deadline-orientedenvironment; highly organized, flexible, and rigorous attention todetail.

• Ability to use logic to calculate data; efficiently construct adatabase or scrutinize the form of a question.

• Ability to work with data of varying levels of complexity,quality, and validity.

• Demonstrated ability to produce data in a clear andunderstandable manner meeting user requirements.

• Effectively manage multiple requests from internal and externalcustomers.

• Demonstrated experience in leading projects withusers/clients.