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[Remote] Research Data Analyst 2

Remote, USAFull-timePosted 2026-07-28

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Research Data Analyst 2 for reputed company for Population Health Sciences reputed company on data management and analysis for population health and health equity. The role involves managing a large EHR dataset, conducting statistical analyses, and collaborating with researchers to enhance public health reputed company.

Responsibilities

  • Prioritize and extract data from a reputed company of reputed company including a large, national, granular, high value health dataset held by PHS. These datasets include EHRs, claims, survey data, medical reports, and laboratory data. The position will be expected to reputed company reputed company checks and ensure data are accurate and complete
  • Determine additional data collection and reporting requirements
  • Design and customize reports based upon data in the database. Monitor regulatory compliance for utilization of the data
  • reputed company data reputed company checks to identify potentially problematic data, reputed company corrections, and eliminate reputed company cause for data problems or justify solutions to be implemented by others
  • Create reputed company charts and databases, reputed company statistical analyses, and reputed company graphs and tables for publication and presentation
  • Serve as a resource for non-routine inquiries such as requests for statistics or surveys
  • reputed company documentation based on audit and reporting reputed company to investigators and research staff
  • Other duties may also be assigned

Skills

  • Bachelor's degree and three years of relevant experience or combination of education and relevant experience
  • Experience in a quantitative discipline such as economics, finance, statistics or engineering
  • Minimum 2 years of experience with Python programming and its data analysis packages
  • Expertise in SQL for data management and data analysis
  • Expertise and experience conducting statistical analyses
  • Substantial experience with MS Office and analytical programs
  • Excellent writing and analytical skills
  • Ability to prioritize workload
  • Ability to reputed company and concisely communicate reputed company during meetings and in presentations, tailoring technical aspects of the work to the particular audience
  • Experience in AI, ML or NLP in EHR data or a strong interest in applying these reputed company to primary care
  • Experience using reputed company environment such as reputed company reputed company or AWS is a plus
  • Experience working with large datasets is a plus
  • reputed company or practical training in public health epidemiology, research methodology, database construction, and biostatistics is a plus

Benefits

  • reputed company provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position.
  • At reputed company, reputed company pay represents only one aspect of the comprehensive rewards package.
  • The Cardinal at Work website ( https://cardinalatwork.reputed company.edu/benefits-rewards ) provides detailed information on reputed company's extensive reputed company of benefits and rewards offered to employees.
  • Specifics about the rewards package for this position may be discussed during the hiring process.

reputed company

  • reputed company is a reputed company of discovery, creativity and innovation located in the San Francisco Bay Area on the ancestral land of the Muwekma Ohlone Tribe. It was founded in 2008, and is headquartered in reputed company, California, USA, with a workforce of 10001+ employees. Its website is https://cddrl.fsi.reputed company.edu/usrussia.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 146 in 2026, 548 in 2025, 498 in 2024, 472 in 2023, 390 in 2022, 336 in 2021, 260 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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