Offer summary

Qualifications:

Bachelor's or master’s degree in Statistics, Biostatistics, Computer Science, or a related field., Extensive experience in programming with R and using R Studio for data analysis and visualization., Strong understanding of clinical trial data, with a preference for experience in oncology., Excellent problem-solving skills and strong communication abilities..

Key responsibilities:

Analyze clinical trial data using R Studio to generate outputs.

Develop and maintain R scripts for data cleaning, manipulation, and analysis.

Create and refine visualizations to communicate data findings to stakeholders.

Collaborate with data managers and clinical scientists to ensure efficient data analysis.

Atorus delivers far-reaching insights and efficiencies from your clinical data, producing robust intelligence that fuels decisions — fast. Our team of experienced clinical analytics innovators provide you with progressive solutions from technologies and staff who manage, amalgamate, and analyze data, bringing insight and simplicity from complexity. We do this by automating routine functions, collecting data closer to source, visualizing normally static clinical trial data, and simplifying data amalgamations. You’ll be confident that you have gleaned as much actionable insight as possible from your data and that you are prepared to make decisions compliant with industry standards. Atorus leverages advancing technologies with people to bridge and simplify the information gaps that traditional clinical trial data management and biometrics approaches cannot. With Atorus’ analytics experts and high-efficiency solutions, you’ll have confidence in your insights. You’ll have DATA THAT DOES.

Job description

Remote from anywhere in the U.S. or Canada

Full-time

Key Responsibilities

Analyze clinical trial data using R Studio to generate outputs
Develop and maintain R scripts for data cleaning, manipulation, and comprehensive analysis
Create and refine visualizations to effectively communicate data findings to diverse stakeholders
Collaborate with data manager and clinical scientist to ensure precise and efficient data analysis
Implement and validate “ad-hoc” statistical algorithms tailored for clinical trial data
Ensure data integrity and compliance with regulatory standards and best practices
Document analysis processes, methodologies, and results in a clear and concise manner

Qualifications

Bachelor's or master’s degree in Statistics, Biostatistics, Computer Science, or a related field
Extensive experience in programming with R and using R Studio for data analysis and visualization
Strong understanding of clinical trial data
Experience in oncology therapeutic area is preferred
Experience with Medidata RAVE is preferred
Proficiency in data manipulation, statistical analysis, and advanced visualization techniques
Experience with other programming languages (e.g., Python) is optional
Excellent problem-solving skills and meticulous attention to detail
Ability to work independently and collaboratively in a team environment
Strong communication skills to present data findings

Required profile