Research Data Scientist – Pain Analytics

Washington University in St. Louis; St. Louis (MO); On-site; USD 63,000 - 115,000; Full time

Benefits offered by this job

Vacation days

Holidays

Health insurance

Metro transit U-Pass

403(b) Retirement Savings Plan

Wellness programs

Job summary

Washington University in St. Louis's Gulur Lab seeks a Research Data Scientist to apply data science, machine learning, and AI to study why patients experience pain differently and how trajectories may be influenced. This onsite role is based in St.

Louis, MO, handling large clinical datasets and building reproducible analytic workflows. You will collaborate with clinicians, biostatisticians, epidemiologists, informaticians, and other researchers to translate findings into interpretable results,

Qualifications

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

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.
• Collaborate with clinicians, biostatisticians, epidemiologists, informaticians, data scientists, and other investigators.
• Apply data science, machine learning, and AI approaches when appropriate to the scientific question.
• Maintain well-documented code, data dictionaries, analytic datasets, and reproducible workflows.
• Contribute analyses and technical content to manuscripts, abstracts, presentations, and grant proposals.

Education

Master’s degree

Tools

Python

R

SQL

Job description

Washington University in St. Louis's Gulur Lab seeks a Research Data Scientist to apply data science, machine learning, and AI to study why patients experience pain differently and how trajectories may be influenced. This onsite role is based in St.

Louis, MO, handling large clinical datasets and building reproducible analytic workflows. You will collaborate with clinicians, biostatisticians, epidemiologists, informaticians, and other researchers to translate findings into interpretable results,