Research Statistician I - Data Scientist - Anesthesiology

The Gulur Lab in the Department of Anesthesiology at Washington University School of Medicine is seeking a Research Data Scientist to use data science, machine learning, and AI to investigate why patients experience pain differently and how those trajectories may be influenced.

Role Overview

In this onsite position in St. Louis, MO, you will work with large clinical and longitudinal datasets, build reproducible analytic workflows, and support research outputs through rigorous statistical and computational analysis. The work includes collaborating across research and clinical teams to translate data findings into interpretable results for scientific communication.

Key Responsibilities

• 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 team members.
• Apply data science, machine learning, and AI approaches when appropriate to the scientific question.
• Analyze complex longitudinal and high-dimensional clinical data.
• Create clear data visualizations and analytic outputs to support 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.

Required Qualifications

• Master’s degree
• Analytical Support For Executive Decision-Making: 5 years

Technologies

• Python
• R
• SQL

Compensation and Schedule

• Salary range: USD 63,400 to 115,000 per year
• Scheduled hours: 40
• Grade: R12

Work Location and Working Conditions

• Location: St. Louis, MO 63110 (onsite)
• Working conditions: Normal Office Environment
• Typical setup: Typically sitting at a desk or table; office equipment provided

Benefits

• Up to 22 days of vacation, 10 recognized holidays, and sick time
• Competitive health insurance packages with priority appointments and lower copays/coinsurance
• Free Metro transit U-Pass for eligible employees
• Defined contribution (403(b)) Retirement Savings Plan with university contributions combined with employee contributions starting at 7%
• Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, and access to dietitians
• 4 weeks of caregiver leave to bond with a new child
• WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us

Additional Information

• Certifications / professional licenses: No specific certification or professional license required
• Driver’s license: Not required
• Certifications / professional licenses: No specific certification/professional license is required

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to complete pre-employment screening, including a criminal background check and, where applicable, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. Offers are contingent upon successful completion of required screening.

Accommodation and Application Questions

For frequently asked questions about the application process, please refer to the External Applicant FAQ. If you are unable to use the online application system and need an accommodation, contact [email protected] or call 314-935-1149 and leave a voicemail describing the nature of your request.