Onsite Quantitative Researcher - Flexible Hours, Weekly Pay

HealthBay; Newark (NJ); On-site; USD 182,000 - 228,000; Full time

Benefits offered by this job

Weekly pay

Mentorship with Principal Researcher

Onsite in Newark

Job summary

HealthBay is seeking a Quantitative Researcher for an onsite contract role in Newark. You will partner with a Principal Research Consultant to design, implement, and assess quantitative studies, applying advanced statistics and data analysis to drive strategic decisions.

The position emphasizes rigorous research design, collaboration, and the ability to translate complex findings for diverse stakeholders in a fast-paced environment.

Qualifications

• Advanced degree in statistics, mathematics, economics, finance, CS or related discipline.
• Proven experience conducting quantitative research and statistical analysis.
• Proficiency with statistical software (R, Python, MATLAB, SAS or similar).
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Collaborate with the Principal Research Consultant to design, develop, implement, and analyze quantitative research projects.
• Develop and apply advanced statistical models and data analysis techniques to complex datasets.
• Analyze large datasets to uncover trends, opportunities, and optimize processes.
• Conduct statistical analysis, hypothesis testing, and backtesting of research ideas.
• Interpret results and present actionable findings and recommendations to stakeholders.

Skills

Quantitative analysis

Statistical modeling

Data interpretation

Communication

Education

Master's or PhD in a quantitative field

Tools

R

Python

MATLAB

SAS

Job description

HealthBay is seeking a Quantitative Researcher for an onsite contract role in Newark. You will partner with a Principal Research Consultant to design, implement, and assess quantitative studies, applying advanced statistics and data analysis to drive strategic decisions.

The position emphasizes rigorous research design, collaboration, and the ability to translate complex findings for diverse stakeholders in a fast-paced environment.