> Markdown version of [/jobs/ext/3826598-research-statistician-i-data-scientist-anesthesiology](https://www.wearedevelopers.com/jobs/ext/3826598-research-statistician-i-data-scientist-anesthesiology). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Research Statistician I - Data Scientist - Anesthesiology - **Company:** Inc Washington - **Location:** St. Louis, MO, United States - **Experience:** Expert - **Salary:** $63,400.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Clinical Data Repository, Cloud Computing, Computer Literacy, Data Dictionary, Information Engineering, Data Mining, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Electronic Medical Records, Data Management, Data Pipelines - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=94d701e9880cddbc ## About the Role Master's degree Certifications /Professional Licenses : No specific certification/professional license is required for this position. Work Experience: Analytical Support For Executive Decision-Making (5 Years) Skills: Not Applicable Driver's License: A driver's license is not required for this position., WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles., No additional education unless stated elsewhere in the job posting. Certifications /Professional Licenses : No additional certification/professional licenses unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Artificial Intelligence (AI), Biomedical Research, Cloud Computing, Communication Presentations, Computer Literacy, Data Engineering, Data Management, Data Visualization Design, Electronic Health Records (EHR), Health Care, High Accuracy, Implementation Management, Information Interpretation, Large Scale Data Processing, Longitudinal Data Analysis, Machine Learning Methods, Organizational Planning, Professional Judgement, Relationship Networking, Self Motivation, Statistical Applications, Statistical Learning Methods, Statistical Methods, Time Series Data ## Description The Gulur Lab in the Department of Anesthesiology at Washington University School of Medicine studies why patients respond differently to pain experiences and how we can alter their trajectory. We are seeking a Research Data Scientist with strong computational and quantitative skills who is excited to work across disciplines and apply data science, machine learning, and AI to answer these questions., * Acquire, clean, integrate, and analyze large clinical and longitudinal datasets. * Develop reproducible data pipelines and analytic workflows using Python, R, SQL, and related tools. * Work with electronic health record, perioperative, administrative or claims, registry, and other healthcare datasets. * Perform data extraction, transformation, validation, harmonization, and quality assurance. * Conduct statistical and computational analyses in collaboration with the Principal Investigator, Senior Research Scientist, and other research team members. * Apply data science, machine learning, and AI approaches when appropriate to the scientific question. * Analyze complex longitudinal and high-dimensional clinical data. * Develop clear data visualizations and analytic outputs for research interpretation and communication. * Maintain well-documented code, data dictionaries, analytic datasets, and reproducible workflows. * Contribute analyses and technical content to manuscripts, abstracts, presentations, and grant proposals. * Collaborate with clinicians, biostatisticians, epidemiologists, informaticians, data scientists, and other investigators. * Communicate technical work effectively to both quantitative and clinical collaborators. * Support coordination of data acquisition and access across research projects. Maintain high standards for data quality, reproducibility, privacy, security, and institutional compliance. *