{"id":2453488,"url":"https://alion.io/job/surrey-research-data-analyst-2","title":"Research Data Analyst 2","company":{"id":35208,"name":"Surrey","domain":"surrey.ac.uk","url":"https://alion.io/company/surrey","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stanford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":108000,"max":128000,"currency":"USD","period":"year","gross":null,"usd_annual":128000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Julia","optional":false},{"name":"MATLAB","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"SLURM","optional":false},{"name":"Unix","optional":false}],"status":"closed","first_seen_at":"2026-10-13T14:23:27Z","employer_posted_date":null,"last_verified_at":"2026-10-13T21:20:30Z","board_verified":false,"closed_at":"2026-10-13T21:20:30Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Stanford University is hiring a Research Data Analyst 2 for the Julia Salzman lab in the Department of Biomedical Data Science. The role focuses on analyzing and integrating high-throughput genomic data, applying or developing algorithms, and creating reproducible analytical pipelines to address biological research questions.\n\nResponsibilities\nPrioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness\nDetermine additional data collection and reporting requirements\nDesign and customize reports based upon data in the database\nOversee and monitor regulatory compliance for utilization of the data\nUse system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others\nCreate complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation\nServe as a resource for non-routine inquiries such as requests for statistics or surveys\nTest prototype software and participate in approval and release process for new software\nOther duties may also be assigned\n\nSkills\nProficiency in high-throughput genomic data analysis and a good understanding of biological systems are required\nExperience in programming\nA solid background in statistical analysis\nExcellent interpersonal skills\nThe ability to interact effectively with members of the research teams\nThe successful candidate must be able to learn and work independently, yet collaborate effectively with co-workers\nBachelor's degree and three years of relevant experience or combination of education and relevant experience\nExperience in a quantitative discipline such as economics, finance, statistics or engineering\nSubstantial experience with shell, command line and analytical programs\nExcellent writing and analytical skills\nAbility to prioritize workload\nFour-year college degree in bioinformatics, biostatistics, computational biology, computer science, or similar, with a strong publication record\nAlternatively, a PhD in one of the aforementioned fields (or similar) combined with a very strong record of data analysis\nWorking knowledge and a solid understanding of biological principles, metagenomics, bioinformatics terminology, and common sequence alignment programs (eg. Bowtie)\nAn understanding of the statistical principles behind current best practices in high-throughput molecular data analysis\nStrong experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis\nAbility to generate novel pipelines to analyze unique types of data\nProficiency with Unix systems and queuing systems (e.g. SLURM)\nFamiliarity with reproducible computing research paradigms including Docker\n\nCompany Overview\nExpectations of medical care are changing fast – meaning the role of the doctor is too. It was founded in 2022, and is headquartered in Guildford, Surrey, with a workforce of 1,001-5,000 employees. 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