Research Statistician I - Data Scientist - Anesthesiology

Wustl

United States

On-site

USD 63,000 - 115,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
Metro U-Pass
Tuition assistance

Job summary

Washington University School of Medicine is seeking a Research Data Scientist to join the Gulur Lab in the Department of Anesthesiology. The role focuses on applying data science, ML, and AI to understand variability in pain responses using large clinical and longitudinal datasets.

Responsibilities include building reproducible data pipelines, analyzing EHR and claims data, and collaborating with clinicians and statisticians.

Qualifications

  • Master's degree required
  • Experience with clinical or longitudinal data preferred
  • Strong programming and statistical analysis skills

Responsibilities

  • Acquire, clean, integrate, and analyze large clinical and longitudinal datasets.
  • Develop reproducible data pipelines using Python, R, SQL.
  • Apply data science, ML, and AI to clinical questions.
  • Produce clear data visualizations and analytic outputs.
  • Maintain well-documented code and data dictionaries.
  • Collaborate with clinicians, biostatisticians, and informaticians.
  • Ensure data quality, privacy, and security compliance.

Skills

AI
Machine Learning
Data Visualization
Python
R
SQL
Data Engineering
Longitudinal Data Analysis
Electronic Health Records
Statistical Methods
Research Collaboration
Communication
Data Cleaning

Education

Master's degree

Job description

Location

SAINT LOUIS, MO 63110

Scheduled Hours

40

Position Summary

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.

Job Description

Primary Duties & 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 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.

Working Conditions: Job Location/Working Conditions

  • Normal Office Environment

Physical Effort

  • Typically Sitting at a desk or table

Equipment

  • Office Equipment

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education: 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.

More About This Job

WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.

Preferred Qualifications

Education: 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

Grade

R12

Salary Range

$63,400.00 - $115,000.00 / Annually The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Pre-Employment Screening

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement

Personal

  • Up to 22 days of vacation, 10 recognized holidays, and sick time.
  • Competitive health insurance packages with priority appointments and lower copays/coinsurance.
  • Take advantage of our free Metro transit U-Pass for eligible employees.
  • WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%.

Wellness

  • Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more!

Family

  • We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We’ve got you covered.
  • 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.

For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/

EEO Statement

Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity or shared ancestry, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information. As a federal contractor, the university maintains affirmative action programs to implement its equal employment opportunity policy for individuals with disabilities and protected veterans, in accordance with Section 503 of the Rehabilitation Act of 1973, as amended, and the Vietnam Era Veterans’ Readjustment Assistance Act of 1974 (VEVRAA), as amended.

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