53 coding-"https:"-"FEMTO-ST"-"Prof"-"AMOLF" "https:" "https:" "https:" "https:" "https:" positions at University of California San Francisco
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standard coding practices and troubleshoots routine technical issues. Follows established procedures to support system integration, data workflows, and software functionality for clinical and research
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be involved in gathering a wide variety of research data, with particular emphasis on generating datasets and reports based on Qualtrics, running and troubleshooting R code, preparing questionnaires
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to cultural differences, and expressing and accepting feedback in a professional manner. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up
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components are subject to additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles
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and offer components are subject to additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS
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of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience of the final
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make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience
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management, and coding in Dedoose. Additionally, the Research Assistant will also assist with participant payment and retention efforts, survey data collection, and support participant check-ins and inquiries
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recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration
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and conducting code reviews. Serve as a subject matter expert in data warehouse concepts such as Kimball, star schema, snowflake schemas, and normalized and dimensional data models. Stakeholder