{"schemaVersion":"jobsearcher.job.v1","id":"58a22a39d533ff86cbc3eba6","url":"https://jobsearcher.com/jobs/58a22a39d533ff86cbc3eba6","canonicalUrl":"https://jobsearcher.com/jobs/58a22a39d533ff86cbc3eba6","title":"Python Developer","description":"Role: Senior Backend OR Full Stack EngineerLocation: Cupertino, CAObjective / Engagement Overview As a user study team, we are looking for an experienced / senior Backend OR Full Stack Engineer to help us update/maintain our existing study data pipeline and help bring up some ML application. The ideal candidate is able to: • Understand complex data pipelines and learn quickly how to maintain/upgrade them • Get familiar with the data being collected and look for ways to make data collection/cleaning/storage more efficient • Build new backend tools to help with data collection on Apple Silicon • Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc…) • Work cross-functionally and adapt analysis quickly • Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and frontend) on iOS devices (using Xcode)  The candidate has to be able to work exceptionally well and efficiently in a fast pace environment and multitask between data analysis requests, tasks and projects.  Skills • Pro level Python • R (optional) • Track record working with complex datasets + integration across multiple systems • Data Viz tools like R Shiny, Tableau (nice to have) • Excellent communication skills • Statistical analysis (hypothesis testing, statistical modeling, power analysis …) • Git • Very well organized • Work exceptionally well in a fast pace environment, and be able to multitask between tasks/projects Assumptions Candidate must have had relevant experiences from a prior academic/professional role. Good candidates usually come from the following fields: • Data science • Statistics • Analytics • Physics/Math • Life sciences (with a focus on bio-statistics or data science) • Neurosciences ( (with a focus on bio-statistics or data science) • Clinical Trial or Studies","company":"Zenotis Group","rawCompany":"zenotis group","city":"Cupertino","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T16:34:01.580Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Developer","description":"Role: Senior Backend OR Full Stack EngineerLocation: Cupertino, CAObjective / Engagement Overview As a user study team, we are looking for an experienced / senior Backend OR Full Stack Engineer to help us update/maintain our existing study data pipeline and help bring up some ML application. The ideal candidate is able to: • Understand complex data pipelines and learn quickly how to maintain/upgrade them • Get familiar with the data being collected and look for ways to make data collection/cleaning/storage more efficient • Build new backend tools to help with data collection on Apple Silicon • Can apply ML methods to help with data analysis (regression, sentiment analysis, computer vision, etc…) • Work cross-functionally and adapt analysis quickly • Bonus: if Full stack engineer, a bonus would be building E2E applications (backend and frontend) on iOS devices (using Xcode)  The candidate has to be able to work exceptionally well and efficiently in a fast pace environment and multitask between data analysis requests, tasks and projects.  Skills • Pro level Python • R (optional) • Track record working with complex datasets + integration across multiple systems • Data Viz tools like R Shiny, Tableau (nice to have) • Excellent communication skills • Statistical analysis (hypothesis testing, statistical modeling, power analysis …) • Git • Very well organized • Work exceptionally well in a fast pace environment, and be able to multitask between tasks/projects Assumptions Candidate must have had relevant experiences from a prior academic/professional role. 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