Clinical Research Data Coordinator: Data Analytics

saintlukes; Kansas City (MO); On-site; USD 65,000 - 95,000; Full time

Job summary

Saint Luke's Health System in Kansas City, MO is seeking a data analyst to support research projects by collecting and analyzing clinical data under PI guidance. You will develop methods for data collection, ensure privacy compliance, and translate data into actionable insights using various software tools.

Responsibilities include applying NLP and ML techniques to large datasets, maintaining data integrity, and contributing to manuscripts and proposals as needed.

Qualifications

• Bachelor's degree in a data-related field and knowledge of clinical research standards.
• Experience with data collection/analysis within healthcare or research settings is preferred.
• Ability to handle HIPAA/privacy requirements and maintain data integrity.

Responsibilities

• Assimilate research objectives and develop tools for data collection and analysis.
• Develop analytics techniques to transform raw data into meaningful information.
• Utilize spreadsheets, data systems, and visualization tools to present findings.
• Apply data mining, NLP, and machine learning to structured and unstructured data.
• Report clinical data findings and contribute to manuscripts or protocols.

Skills

Data analysis

Data visualization

HIPAA compliance

Basic programming

Communication skills

Education

Bachelor's Degree in data science, computer science, statistics, mathematics, biology, chemistry, or healthcare-related field

Knowledge of US/EU/regulatory standards and GxP guidelines for human subject research

Tools

Spreadsheets

Electronic Data Capture (EDC) systems

Electronic Medical Records (EMR) systems

Statistical analysis software

Imaging and visualization modelling tools

Job description

Saint Luke's Health System in Kansas City, MO is seeking a data analyst to support research projects by collecting and analyzing clinical data under PI guidance. You will develop methods for data collection, ensure privacy compliance, and translate data into actionable insights using various software tools.

Responsibilities include applying NLP and ML techniques to large datasets, maintaining data integrity, and contributing to manuscripts and proposals as needed.